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  • ** Learning, evolution, and adaptation ** Knowledge representation Computational complexity
    6 KB (777 words) - 22:54, 14 August 2008
  • ...e the first editor of a category you will after one year and comprehensive representation of the field be awarded the title of a founding editor for that category ==== [[:category:Computer-based learning|Computer-based learning]] ====
    6 KB (714 words) - 12:19, 11 December 2020
  • Knowledge representation and management; Knowledge discovery (business intelligence); Semantic infor ..., geospatial, space/; XML-data and process /data warehouse, workflow, web, learning, control/;
    11 KB (1,371 words) - 12:28, 18 May 2020
  • Segmentation, feature extraction and representation, shape and motion primitives, texture and color information, statistical, s ...e vision, active vision, spatial reasoning, 2D and 3D modeling, perceptual learning.
    2 KB (268 words) - 17:47, 14 October 2008
  • approaches, collocational corpus analysis and machine learning; researchers problems in meaning representation, acquisition and use, based on
    6 KB (857 words) - 04:56, 15 September 2009
  • ...ge, video, audio, biometrics, etc., and Multimedia Applications related to representation, storage, authentication and communication of multimedia information. * e-Learning, e-Commerce and e-Society Applications
    8 KB (1,026 words) - 17:48, 14 October 2008
  • * Computational mechanisms of learning and memory; * Learning mechanisms (e.g., stability, personalized user/student models);
    6 KB (692 words) - 23:59, 30 May 2016
  • * Knowledge Representation and Ontology * Pervasive Learning, Games, Entertainment
    7 KB (942 words) - 20:05, 14 October 2008
  • education and learning systems, assistive technologies, digital entertainment) - Statistical and machine learning techniques for language processing
    4 KB (570 words) - 14:02, 4 June 2020
  • * Adapting existing NLP tools to the CH and SHE domains: machine learning and semantic web technologies * Knowledge representation in CH and SHE
    7 KB (931 words) - 21:55, 14 October 2008
  • * Knowledge Representation * Machine Learning
    8 KB (1,068 words) - 21:43, 26 February 2011
  • Knowledge Representation Learning and Adaptive Sensor Fusion
    3 KB (359 words) - 20:06, 14 October 2008
  • | Field = Machine learning ...des, but is not limited to, fundamental issues, representation, inference, learning, and decision making in qualitative and numeric paradigms.
    3 KB (321 words) - 20:06, 14 October 2008
  • - graph representation of shapes, - graph based learning,
    3 KB (344 words) - 00:44, 15 October 2008
  • ...d its evolution; intellect; thinking; perception; consciousness; knowledge representation and acquisition; language as a means of cognition and communication; brain ...scussed: the development of emotion, the effects of fatigue in working and learning, the affective modulation of cognitive processes, as well as the abnormal d
    4 KB (530 words) - 23:01, 14 October 2008
  • ...to support this natural language understanding challenge and on the use of learning methods in this context. RTE has fostered an active and growing community o ...y/subsumption metrics - Tree-based distances and transformations - Machine learning - Logical inference using theorem provers
    3 KB (476 words) - 23:01, 14 October 2008
  • Machine Learning, Knowledge Discovery and Data Mining Temporal and Spatial Representation and Reasoning
    7 KB (924 words) - 23:03, 14 October 2008
  • * Machine learning * Machine-oriented knowledge representation and inference methods
    6 KB (840 words) - 16:42, 27 December 2015
  • ...ing the more traditional areas such as Knowledge Representation, Planning, Learning, Scheduling, Perception and also not so traditional areas such as Reactive - Knowledge Representation and Reasoning
    18 KB (2,457 words) - 23:04, 14 October 2008
  • * Knowledge representation and reasoning * Machine learning and data mining
    2 KB (262 words) - 23:04, 14 October 2008
  • - Knowledge representation and reasoning - Machine learning
    6 KB (827 words) - 23:04, 14 October 2008
  • |Title=Eleventh International Conference on Principles of Knowledge Representation and Reasoning |Field=Knowledge Representation and Reasoning
    3 KB (430 words) - 16:44, 4 November 2016
  • * Reasoning and knowledge representation * Learning and adaptivity
    4 KB (536 words) - 17:55, 10 February 2021
  • Shape Representation Knowledge Representation and High-Level Vision
    3 KB (339 words) - 13:28, 16 November 2020
  • Knowledge representation Learning
    1 KB (139 words) - 23:05, 14 October 2008
  • * Indexing. Query representation, Query reformulation, Structure-based representation, XML, Metadata. Summarization. Natural language processing for IR. ...uestion answering and information extraction. Text Data Mining and Machine Learning for IR.
    3 KB (399 words) - 23:05, 14 October 2008
  • ...s interested in any aspect of the computation, annotation, extraction, and representation of meaning in natural language, in multimedia objects, or in multimodal mes * machine learning of semantic structures
    5 KB (726 words) - 17:37, 9 January 2009
  • Question Generation is an essential component of learning environments, help systems, information seeking systems, multi-modal conver -representation language(s) for the input and output data
    4 KB (533 words) - 23:06, 14 October 2008
  • representation issues, inference techniques, prototype - background knowledge acquisition, representation, and selection
    7 KB (856 words) - 23:06, 14 October 2008
  • and representation: dictionaries, thesauri, terminology, lexicons, recognition, speech synthesis, character recognition, e-learning,
    7 KB (831 words) - 23:07, 14 October 2008
  • ...the other hand, Wikipedia can greatly benefit from numerous algorithms and representation models developed during decades of AI research, as illustrated recently in ...formation retrieval, information extraction, question answering, knowledge representation, and others. We also encourage participation of researchers from other area
    5 KB (736 words) - 23:07, 14 October 2008
  • * Knowledge representation in learning systems * Visualization of concepts in learning systems
    6 KB (825 words) - 17:06, 27 December 2015
  • ...and document classification; legal ontologies are used for legal knowledge representation, legal reasoning and drafting, concepts comparison and consistency checking - Ontology learning from legal texts, including sub-areas such as ontology customization, ontol
    7 KB (1,016 words) - 23:08, 14 October 2008
  • * Machine learning, Classification, Clustering, Ranking, Filtering, Spam Detection, Topic Dete * Knowledge Representation, Metadata, Ontology, Semantic Web, Knowledge Engineering.
    3 KB (401 words) - 23:08, 14 October 2008
  • * Knowledge Representation and Reasoning for Autonomic Web-Services * Agent Learning Models for Autonomic Web-Services
    3 KB (415 words) - 23:13, 14 October 2008
  • |Title=Seventh International Conference on Learning Representations |Field=machine learning, deep learning, learning
    2 KB (245 words) - 10:52, 12 May 2020
  • ...ics relevant to this challenge such as collaboration, usability, knowledge representation, media, and social informatics, the Pragmatic Web conference provides commo ...mportant concepts on the Web such as "social ties", "metadata", "knowledge representation", and "transaction"?
    9 KB (1,139 words) - 23:14, 14 October 2008
  • * Norm learning and emergence <big>Area 5 – Knowledge Representation, Reasoning and Planning
    6 KB (659 words) - 17:41, 11 February 2021
  • representation, query processing and compression of structured data. Modelling user behaviour and learning about user profiles from logs and past
    4 KB (563 words) - 23:15, 14 October 2008
  • Foundations. IR theory, IR architecture, content representation, indexing, ranked retrieval, collaborative IR, Techniques. Machine learning for IR, learning to rank, clustering, IR scalability and efficiency, adversarial IR, user
    3 KB (336 words) - 10:34, 13 May 2020
  • Image representation and modeling Machine Learning, Knowledge Acquisition
    8 KB (982 words) - 23:17, 14 October 2008
  • Representation Machine Learning and Data Mining
    4 KB (438 words) - 23:17, 14 October 2008
  • | Field = Machine learning ...this series of workshops is to bring together researchers from the Machine Learning, Pattern Recognition, Signal Processing and Communications communities, in
    3 KB (366 words) - 23:17, 14 October 2008
  • # software engineering with computational intelligence and machine learning * Agent-based learning and knowledge discovery
    6 KB (733 words) - 12:48, 27 October 2016
  • 2.1 Media Representation and Algorithms (E-Learning, Entertainment, Health Care, Web2.0, SNS, etc.)
    3 KB (340 words) - 18:41, 10 June 2020
  • | Title = ACM SAC Special track on Relational Learning | Field = Machine learning
    5 KB (569 words) - 23:21, 14 October 2008
  • - Early Vision and Image Representation - Dynamics and Learning for Gesture Interpretation
    6 KB (872 words) - 11:31, 21 February 2020
  • Shape Representation and Matching Statistical Methods and Learning
    3 KB (377 words) - 08:52, 17 October 2018
  • * Computer vision fundamentals: Early vision, representation, color and illumination analysis, vision geometry, coding, error analysis ...gistration, template matching, indexing, image search, robust recognition, learning, shape-from-X, motion analysis, segmentation, active vision, CADbased visio
    2 KB (264 words) - 23:25, 14 October 2008
  • ...n techniques for recognition and categorization, knowledge representation, learning, reasoning, goal specification and context awareness
    2 KB (234 words) - 23:25, 14 October 2008
  • - Early Vision and Image Representation - Dynamics and Learning for Gesture Interpretation
    4 KB (568 words) - 11:31, 21 February 2020
  • Knowledge representation Learning and adaptive sensor fusion
    3 KB (397 words) - 10:23, 24 June 2011
  • ?Web knowledge representation and Reasoning ?Semantic Knowledge Portal ?Web Knowledge Discovery ?Knowledg ?Semantic-based Virtual Organizations ?e-culture ?e-Science ?e-Business ?e-Learning ?e-Government ?Grid Security ?Sensor networks and Grid applications
    3 KB (367 words) - 23:35, 14 October 2008
  • ...rkshop on Visual Design Languages and Applications for Technology-Enhanced Learning ...rkshop on Visual Design Languages and Applications for Technology-Enhanced Learning (VIDLATEL '08)
    6 KB (852 words) - 23:39, 14 October 2008
  • * Spoken language acquisition, development and learning * Speech analysis and representation
    2 KB (283 words) - 23:43, 11 February 2020
  • ** Informal Learning at the Workplace ** Knowledge Representation and Modelling Methods
    2 KB (256 words) - 01:51, 16 December 2008
  • - E-learning - Learning through reinforcement
    6 KB (812 words) - 12:55, 18 January 2009
  • learning tools that exploit monological and dialogical argument structures including representation and summarisation.
    5 KB (658 words) - 12:58, 18 January 2009
  • o Knowledge representation and reasoning o Machine learning
    5 KB (567 words) - 12:58, 18 January 2009
  • - Distributed Machine Learning over XML Repositories - XML-based Distributed Process Representation and Mining
    7 KB (1,030 words) - 13:00, 18 January 2009
  • | Title = Sixteenth International Symposium on Temporal Representation and Reasoning Temporal Representation and Reasoning
    6 KB (872 words) - 13:00, 18 January 2009
  • - Knowledge Representation and Reasoning - Machine Learning
    4 KB (582 words) - 14:47, 2 December 2010
  • Center of Excellence for Learning in Education, Science, and Technology (http://cns.bu.edu/CELEST) Development of learning systems in the human brain
    8 KB (1,092 words) - 13:33, 18 January 2009
  • * » fuzzy deep learning * » knowledge representation and approximate reasoning
    2 KB (223 words) - 17:26, 6 May 2021
  • A-07 Natural Language Learning C-02 Knowledge Acquisition C-03 Knowledge Representation
    4 KB (459 words) - 16:33, 27 February 2009
  • - Machine Learning - Knowledge Representation and Reasoning
    6 KB (830 words) - 16:33, 27 February 2009
  • * Knowledge Representation, Distributed Models and Reasoning, Information visualization Knowledge Representation, Distributed Models and Reasoning, Information visualization
    8 KB (977 words) - 16:33, 27 February 2009
  • Web-based learning E-learning
    5 KB (604 words) - 17:06, 27 February 2009
  • This session covers: Computer Assisted Learning and Simulation Trainers, Customizing of ERP Systems using Simulation, Distr ..., Simulation of Collective Behaviour and Emergent Phenomena, Simulation of Learning and Adaptation Processes, Assessment Criteria and Assessment Methods for Si
    38 KB (4,832 words) - 17:07, 27 February 2009
  • | Title = Joint Workshop on Visual and Contextual Learning from Annotated Images and Videos, and Visual Scene Understanding VCL’09: Workshop on Visual and Contextual Learning from Annotated Images and Videos
    7 KB (1,031 words) - 22:08, 27 February 2009
  • - Early Vision and Image Representation - Dynamics and Learning for Gesture Interpretation
    5 KB (595 words) - 11:32, 21 February 2020
  • (corporate memories, e-commerce, design, tutoring/e-learning,<br/> * Ways of knowledge representation (ontologies, similarity, retrieval,
    4 KB (504 words) - 12:10, 3 June 2009
  • - Learning User Profiles - Meta-Knowledge Discovery and Representation
    3 KB (440 words) - 15:25, 9 December 2009
  • ...Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis.
    2 KB (253 words) - 10:51, 17 July 2020
  • * Event representation and detection * Media ontology learning
    4 KB (512 words) - 11:34, 2 August 2009
  • Early vision, representation, color and illumination analysis, vision geometry, coding, error analysis ...gistration, template matching, indexing, image search, robust recognition, learning, shape-from-X, motion analysis, segmentation, active vision, CAD-based visi
    2 KB (229 words) - 11:35, 2 August 2009
  • * Automatic ontology construction (ontology learning) based on patterns * Francois Scharffe. Correspondence Patterns Representation. PhD Thesis (2009)
    10 KB (1,318 words) - 11:35, 2 August 2009
  • ...a new generation multimedia applications that enable large-scale semantic representation, analysis, and delivery of multimedia data from heterogeneous data sources. * Media ontology generation/learning/reasoning
    5 KB (632 words) - 11:35, 2 August 2009
  • * Document Representation and Content Analysis (e.g., text representation, document structure, linguistic analysis, non-English IR, cross-lingual IR, * Queries and Query Analysis (e.g., query representation, query intent, query log analysis, question answering, query suggestion, qu
    3 KB (449 words) - 00:45, 11 December 2009
  • * Knowledge Representation and Reasoning, Logic Programming * Machine Learning, Neural Nets, Genetic Algorithms
    6 KB (830 words) - 11:18, 8 October 2020
  • ...languages, semantics, pragmatics, protocols, and conversations. Knowledge representation Computational complexity. Autonomous or humanoid robots. Social robots and ...agents and self. Multi-agent planning. Negotiation protocols. Multi-agent learning. Conflict resolution. Trust and reputation management. Privacy, safety and
    6 KB (733 words) - 18:19, 24 September 2020
  • ...ge, video, audio, biometrics, etc., and Multimedia Applications related to representation, storage, authentication and communication of multimedia information. * › e-Learning, e-Commerce and e-Society Applications
    3 KB (310 words) - 15:37, 5 February 2010
  • • Data representation and fusion for security informatics<br> • Criminal/intelligence machine learning and data mining<br>
    4 KB (429 words) - 08:55, 1 August 2019
  • *Machine learning for cybersecurity *Data representation and fusion for security informatics<br>
    9 KB (1,092 words) - 09:35, 1 August 2019
  • Representation techniques › Machine learning
    2 KB (260 words) - 19:16, 16 February 2010
  • ...ing the more traditional areas such as Knowledge Representation, Planning, Learning, Scheduling, Perception and also not so traditional areas such as Reactive * › Knowledge Representation and Reasoning
    4 KB (418 words) - 14:18, 10 March 2010
  • ...verse fields, including signal processing and pattern recognition, machine learning, cognition, affective science, human-computer interaction, human-robot inte - Emotion and cognitive state representation
    7 KB (914 words) - 12:55, 27 December 2015
  • * › Learning User Profiles * › Meta-Knowledge Discovery and Representation
    5 KB (627 words) - 12:33, 16 June 2010
  • * Learning vector quantization MACHINE LEARNING
    5 KB (574 words) - 15:58, 6 March 2020
  • ...ed diagnosis or related fields such as artificial intelligence and machine learning, to encourage growth, raising the profile of this multidisciplinary field w Shape Representation and Analysis
    3 KB (362 words) - 08:13, 17 September 2020
  • ...eld have recently been working towards such advances as developing virtual learning systems for training intravenous catheterization and collecting blood sampl * Data Representation and Visualization
    8 KB (1,165 words) - 05:07, 2 November 2010
  • ...such as machine learning techniques, decision making techniques, knowledge representation, network management, network optimization, problem solution techniques, and
    6 KB (833 words) - 15:16, 24 September 2020
  • * Representation Techniques * Machine Learning
    2 KB (235 words) - 17:40, 6 April 2011
  • ...ing the more traditional areas such as Knowledge Representation, Planning, Learning, Scheduling, Perception and also not so traditional areas such as Reactive * Knowledge Representation and Reasoning
    4 KB (439 words) - 17:54, 29 June 2011
  • * Embedding and Manifold Learning * Similarity and Distance Learning
    3 KB (351 words) - 11:32, 1 July 2011
  • * Shape Representation and Matching * Machine Learning Technologies for Vision
    4 KB (538 words) - 11:34, 21 February 2020
  • Learning User Profiles Meta-Knowledge Discovery and Representation
    5 KB (612 words) - 12:07, 1 July 2011
  • Knowledge Representation Machine Learning
    11 KB (1,490 words) - 11:59, 27 January 2012
  • Machine Learning, Knowledge Discovery and Data Mining in Biomedical E-Learning For Spreading Health Informatics Awareness
    9 KB (1,186 words) - 17:44, 24 February 2012
  • ...such as neural networks, fuzzy theory, evolutionary algorithm, and machine learning, which bring significant performance improvements to practical applications - Representation and Coding Formats for Stereo and Multiview Video
    5 KB (726 words) - 15:28, 2 March 2012
  • |Title=Eighth International Conference on Learning Representations |Field=machine learning, deep learning, learning
    2 KB (264 words) - 10:47, 12 May 2020
  • *Trust and privacy in knowledge representation *Semi-automatic knowledge acquisition, e.g., ontology learning
    5 KB (579 words) - 13:18, 17 February 2020
  • ...d ontology-based representation. The systematic study of such analysis and representation is at the center of the modern discipline of formal ontology, which is a ge ...S paper will address both content-related ontological issues, their formal representation, as well as their impact and relevance for some aspect of information syste
    6 KB (751 words) - 14:08, 22 February 2020
  • * Representation Learning for Knowledge Graphs * Knowledge Representation and Semantic Reasoning
    4 KB (531 words) - 14:14, 22 February 2020
  • ...query intent, query understanding, query suggestion and prediction, query representation and reformulation, spoken queries). * Retrieval Models and Ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity a
    8 KB (1,024 words) - 09:57, 13 May 2020
  • ...ence and Semantic Web, databases, data science, data analytics and machine learning, human-computer interaction, social networks, distributed and mobile system ...ncern is amplified by the opaque nature of techniques such as deep machine learning and the ease with which they can be applies over large varieties of dataset
    6 KB (872 words) - 23:11, 24 February 2020
  • Machine Learning Knowledge Representation
    9 KB (1,272 words) - 05:51, 4 May 2012
  • ...obotics and perception, multiagent systems, statistical learning, and deep learning. We expressly encourage work that cuts across technical areas, or develops
    13 KB (1,895 words) - 16:30, 26 November 2020
  • Shape Representation and Matching Machine Learning Technologies for Vision
    5 KB (599 words) - 11:34, 21 February 2020
  • *Data representation and fusion for security informatics<br> *Criminal/intelligence machine learning and data mining<br>
    5 KB (575 words) - 10:16, 1 August 2019
  • ...international conference on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI 2017 will be held in Syd ...heories, methodology and applications related to knowledge representation, learning, and reasoning under uncertainty. A non-exclusive list of subject areas can
    6 KB (943 words) - 17:26, 26 February 2020
  • * Learning-Supported System * Knowledge representation/reasoning
    3 KB (408 words) - 11:39, 5 January 2013
  • Machine Learning Representation techniques
    3 KB (330 words) - 18:28, 4 March 2013
  • ...ing the more traditional areas such as Knowledge Representation, Planning, Learning, Scheduling, Perception and also not so traditional areas such as Reactive • Machine Learning
    4 KB (438 words) - 14:04, 8 May 2013
  • |dissertation title=Learning OWL Class Expressions ...is research interests involve Semantic Web, machine learning and knowledge representation. He is founder/leader of several open source projects, including DL-Learner
    3 KB (376 words) - 11:32, 27 November 2017
  • ...arch results and directions in the areas related to Linked Data, knowledge representation and reasoning, and semantic technologies. Its aim is to bring together rese Knowledge representation and reasoning
    6 KB (898 words) - 14:42, 24 September 2016
  • Evolutionary Learning Knowledge Representation and Reasoning
    3 KB (359 words) - 22:34, 30 September 2016
  • ...Knowledge Management is concerned with the impact of time and space on the representation of knowledge. Knowledge engineering has mostly been about creating static, * Semi-automatic knowledge acquisition, e.g., ontology learning
    8 KB (1,067 words) - 12:26, 7 July 2018
  • * Agent-based learning and knowledge discovery * Knowledge Representation and Retrieval
    3 KB (352 words) - 06:14, 20 September 2016
  • ...ence and Semantic Web, databases, data science, data analytics and machine learning, human-computer interaction, social networks, distributed and mobile system ...ncern is amplified by the opaque nature of techniques such as deep machine learning and the ease with which they can be applies over large varieties of dataset
    6 KB (877 words) - 23:06, 24 February 2020
  • - Machine Learning for IR - Knowledge Representation, Reasoning, and Visualization
    12 KB (1,565 words) - 04:15, 5 August 2023
  • Knowledge Representation and Reasoning Learning organization & organizational learning
    3 KB (343 words) - 06:19, 20 September 2016
  • |Title=ICLR 2017 : 5th International Conference on Learning Representations |Field=machine learning, deep learning, learning representation
    365 bytes (40 words) - 17:32, 19 December 2016
  • ...information extraction; Community detection in social networks; Mining and learning activities; Confidence-based and incomplete information ...ed time-series prediction systems; Social multimedia as sensors; Sentiment representation systems
    10 KB (1,305 words) - 00:29, 12 December 2020
  • ...from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, k - Data mining and machine learning algorithms and methods in traditional areas (such as classification, regres
    3 KB (407 words) - 10:17, 27 July 2016
  • ...ovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs ...ross language or other human-assigned labels. The acquisition, provenance, representation, maintenance, usability, quality as well as legal, organizational and infra
    6 KB (847 words) - 15:02, 8 December 2016
  • * connections between databases and knowledge representation * database aspects of machine learning
    4 KB (557 words) - 10:14, 15 May 2019
  • learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from any
    8 KB (1,041 words) - 12:52, 9 August 2019
  • ...) traditional topics such as search, machine learning, planning, knowledge representation, reasoning, natural language processing, robotics and perception, and multi
    10 KB (1,466 words) - 15:17, 7 March 2021
  • * Knowledge Representation and High-Level Vision * Statistic Learning & Pattern Recognition
    3 KB (382 words) - 16:30, 10 November 2016
  • ...) traditional topics such as search, machine learning, planning, knowledge representation, reasoning, natural language processing, robotics and perception, and multi
    10 KB (1,448 words) - 16:32, 26 November 2020
  • *Knowledge Representation and Reasoning (KRR) *Machine Learning (ML)
    4 KB (551 words) - 13:14, 13 February 2020
  • ** Agent-based learning and knowledge discovery ** Knowledge representation and retrievals
    18 KB (2,288 words) - 12:48, 27 October 2016
  • ====Knowledge Representation and Reasoning==== * System descriptions and best practices in linked learning
    7 KB (988 words) - 09:50, 14 August 2019
  • *Knowledge Extraction and Ontology Learning from the Web *Knowledge Representation for the Web
    18 KB (2,394 words) - 16:28, 29 January 2018
  • ...blem-solving and reasoning, planning, agents, text extraction, and machine learning, information enrichment and visualization, as well as researchers intereste ...proaches for knowledge capture combining knowledge engineering and machine learning
    7 KB (942 words) - 16:53, 8 January 2018
  • Machine Learning Ontologies, Knowledge Representation, Linked Open Data
    2 KB (300 words) - 20:17, 6 July 2017
  • |Title=Second Workshop on Semantic Deep Learning Deadline Extension for for the Second Workshop on Semantic Deep Learning (SemDeep-2)
    4 KB (590 words) - 10:52, 16 July 2017
  • ...l Workshop on "Generalizing knowledge: from Machine Learning and Knowledge Representation to the Semantic Web" ...l Workshop on "Generalizing knowledge: from Machine Learning and Knowledge Representation to the Semantic Web"
    5 KB (704 words) - 20:15, 6 July 2017
  • |Title=Detection, Representation and Management of Concept Drift in Linked Open Data Drift-a-LOD2017: Detection, Representation and Management of Concept Drift in Linked Open Data
    4 KB (531 words) - 12:59, 8 July 2017
  • data analytics and machine learning, social networks, distributed and mobile * Knowledge representation and semantic knowledge management
    6 KB (798 words) - 23:16, 24 February 2020
  • representation, Linguistics, Logic, Mathematics, Mental simulation, Molecular Statistics, Theories of Learning a.o.
    3 KB (432 words) - 11:32, 8 August 2017
  • Representation Formats for Multimedia Big Data Machine learning based on Big Data
    3 KB (461 words) - 13:22, 3 September 2017
  • Knowledge Representation, Reasoning, and Logic Machine Learning
    3 KB (415 words) - 11:34, 8 August 2017
  • 1. AI and Big Data Analytics: Artificial intelligence, Knowledge Representation, Machine Learning, Uncertainty. Big data, Data Mining, Information Retrieval,
    4 KB (559 words) - 11:58, 8 August 2017
  • makes the learning of big multimedia data difficult as most of the current machine learning techniques and the requirements of our real life. In this case,
    3 KB (511 words) - 13:28, 28 July 2017
  • Knowledge Discovery and Information Retrieval: machine learning, mining, Knowledge Representation, Reasoning and Planning: non-monotonic formalisms,
    9 KB (1,118 words) - 13:41, 3 September 2017
  • deep learning and classification. the representation formalism of the output (details can be found below), in this
    6 KB (824 words) - 09:04, 3 September 2017
  • Science is about learning from your data. Thus, with the advancement in computer experience in the area of machine learning in data science and analytics.
    4 KB (551 words) - 11:57, 8 August 2017
  • E-Learning & technology enhanced learning Representation techniques to semantic modelling
    4 KB (497 words) - 11:58, 8 August 2017
  • - Shape Representation and Matching - Machine Learning Technologies for Vision
    4 KB (560 words) - 11:35, 21 February 2020
  • ...obotics and perception, multiagent systems, statistical learning, and deep learning. We expressly encourage work that cuts across technical areas, or develops
    11 KB (1,589 words) - 18:03, 26 November 2020
  • - Machine Learning Techniques for Big Data - Visual Representation and Interaction
    4 KB (583 words) - 10:01, 3 September 2017
  • - Knowledge representation for biomedical knowledge bases - Machine learning based solutions leveraging ontologies and semantic
    5 KB (718 words) - 10:02, 3 September 2017
  • |Field=machine learning learning as well as their applications and services for the retrieval,
    5 KB (623 words) - 11:57, 8 August 2017
  • |Title=VSI: DL-Fusion 2018 : Special issue On “Deep Learning for Information Fusion” - Information Fusion (Elsevier) |Field=machine learning
    3 KB (364 words) - 13:19, 28 July 2017
  • * Cross-lingual representation of meaning distributional semantics and one on technology enhanced learning.
    5 KB (596 words) - 09:59, 21 August 2017
  • - Methods of evaluation and assessment in digital Game-Based Learning - Machine learning for multimodal interaction
    3 KB (397 words) - 21:49, 6 July 2020
  • |Title=BER 2017 : Behavior, Emotion and Representation: Building Blocks of Interaction Workshop ***“Behavior, Emotion and Representation: Building Blocks of
    7 KB (979 words) - 11:49, 8 August 2017
  • recognition; complex knowledge - representation and management; foundations and theories for data analysis - systems; design and analysis of machine learning
    5 KB (670 words) - 13:24, 28 July 2017
  • storage, fusion, processing, learning and ultimately knowledge extraction from -Real-time processing and learning based on spatio-temporal features
    3 KB (397 words) - 10:00, 21 August 2017
  • Knowledge Representation and Reasoning E-Commerce, E-government, and E-Learning
    6 KB (876 words) - 09:59, 21 August 2017
  • involve state-of-the art AI techniques such as machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM
    9 KB (1,256 words) - 02:06, 25 February 2020
  • ...) traditional topics such as machine learning, search, planning, knowledge representation, reasoning, constraint satisfaction, natural language processing, robotics
    3 KB (379 words) - 12:11, 13 February 2020
  • Ontologies, terminology and knowledge representation ...a search, speech dictation, meeting transcription, Computer Aided Language Learning, training and education, mobile communication, machine translation, speech
    5 KB (676 words) - 02:52, 1 January 2018
  • ...al Intelligence, Reinforcement Learning, Knowledge Representation, Machine Learning |Has coordinator=Machine Learning Group of Université Libre de Bruxelles (ULB), Artificial Intelligence Lab
    2 KB (243 words) - 10:20, 29 August 2019
  • |Title=18th IEEE International Conference on Machine Learning and Applications |Field=Computer Science, Artificial Intelligence,Machine Learning and Applications
    3 KB (425 words) - 20:41, 7 September 2019
  • Problem representation Connection between black-box optimization and machine learning
    2 KB (325 words) - 15:32, 4 June 2019
  • * Machine learning and big data analytics, * Biomedical knowledge acquisition and representation,
    2 KB (180 words) - 20:17, 11 February 2021
  • * Machine Learning and Data Mining * Learning Graphical Models and Complex Networks
    1 KB (148 words) - 14:19, 26 March 2020
  • • Knowledge representation and reasoning • Machine learning
    3 KB (277 words) - 15:47, 11 June 2020
  • * Knowledge representation and reasoning * Organizational learning
    2 KB (204 words) - 11:36, 27 March 2020
  • * Agent-based learning and knowledge discovery * Knowledge representation and retrievals
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  • * Smart Education and Learning * Knowledge Representation and Reasoning
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  • * – Smart Education and Learning * – Knowledge Representation and Reasoning
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  • ...hange, being smaller than ACL and COLING, and more regional with extensive representation from the Pacific. * Language Learning
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  • ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
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  • ...; Sparse user-generated data; Human-centered entity linking; Transfer deep learning; Mobile Web cache; RDF data; Web private-preservation; Web vulnerabilities ...mmunity Q/A on the Web; Web user modeling for e-learning; Web user profile representation; Web user profile evolution; Web user data collection; Web identity managem
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  • ...multi-agent systems, declarative agent languages and technologies, machine learning, and AI in general. ...nd Goals for Agent-based Systems: From Specification and Design to Runtime Representation and Reasoning.”
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  • * Agent-based learning and knowledge discovery * Knowledge representation and retrievals
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  • 5.a. Data Mining, Machine Learning, and Artificial Intelligence 6.a. Data Mining, Machine Learning, and Artificial Intelligence
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  • * Visual Representation and Interaction * Data Management and Knowledge Representation
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  • * Visual Representation and Interaction * Data Management and Knowledge Representation
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  • * Deep learning theory and applications in KDD * Explainable machine learning
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  • ...rea of data science, big data, advanced analytics, statistics, and machine learning for industry, government and academic participants. This is ensured by such * New learning theories, models and systems
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  • ...l Photography, Sensing, and Display Convolutional Neural Networks and Deep Learning ...tion, Categorization, Indexing, Matching Segmentation, Grouping, and Shape Representation
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  • |Title=6th ACM Conference on Learning at Scale * Novel assessments of learning, including those drawing on computational techniques for automated, peer, o
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  • *Knowledge Representation *Interpretable Machine Learning
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  • *Representation and Reasoning Graphical Models Machine Learning Evolutionary Computation Neural Networks
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  • • Task 6: #HashtagWars: Learning a Sense of Humor • Task 9: Abstract Meaning Representation Parsing and Generation
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  • * Media Representation and Algorithms * Emerging Trends (e-learning, e-Health, Multimedia Collaboration, etc.)
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  • * Media Representation and Algorithms * Emerging Trends (e-learning, e-Health, Multimedia Collaboration, etc.)
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  • * - Media Representation and Algorithms * - Other Emerging Trends (e-learning, e-Health, Multimedia Collaboration, etc.)
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  • ...information extraction; Community detection in social networks; Mining and learning activities; Confidence-based and incomplete information ...ed time-series prediction systems; Social multimedia as sensors; Sentiment representation systems
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  • ..., discourse parsing and discourse connectives. Reference resolution. Event representation and causality in narrative. Argument mining. Quality and style in text. Cro ...systems. Knowledge graphs and dialogue. Dialogue state tracking and policy learning. Social and emotional intelligence. Dialogue issues in virtual reality and
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  • ..., discourse parsing and discourse connectives. Reference resolution. Event representation and causality in narrative. Argument mining. Quality and style in text. Cro ...systems. Knowledge graphs and dialogue. Dialogue state tracking and policy learning. Social and emotional intelligence. Dialogue issues in virtual reality and
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  • ...ltimedia communications; Multimedia compression mechanisms and information representation; Multimedia encoding and compression, MPEG-1 to MPEG-4, Wavelet and fractal ...ction in learning software and hardware; Social impact metrics on distance learning; Methodologies and processes for education; Curriculum projects and experie
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  • Modeling and capturing and representing online emotions; Knowledge representation and reasoning about emotions; Emotional behavior in human-computer interact Requirements engineering for emotions; Representation of emotionally-oriented requirements; Software design and programming of em
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  • ...S Pedagogy 2.0; Information security policy compliance; Visualizing mental learning processes; Task-adaptive IS; Enterprise management systems; Global and scal ...ng; Theories of agency and autonomy; Multi-agent evolution, adaptation and learning; Adjustable and self-adjustable autonomy; Pervasive systems and computation
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  • ...ons; Stress; Depression; Anxiety; Relationship problems; Grief; Addiction; Learning disabilities; Mood disorders; Substance abuse; Opiate addiction; Therapy; C ...lysis; Sensing and detecting devices; 3d MRI and optical mapping; Semantic representation of human body data; Trusted information for personal wellness; Cloud outsou
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  • * E-Learning, e-Training, and e-Teams Knowledge Management, Organizational learning, Knowledge representation and ontologies topics of interest
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  • Interface-oriented materials and devices; Physical and digital representation; Sensing and display technologies; Rollable and foldable displays with tact ...etic motion-based interaction; Kinetic motion and haptic design; Mindware (learning, adaptation, head-hand coordination, bimanual coordination; discovering aff
    16 KB (1,964 words) - 13:34, 7 January 2021
  • Image representation Machine learning
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  • ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
    16 KB (1,874 words) - 12:15, 24 November 2020
  • Knowledge Discovery and Machine Learning ...earning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data, big data, graph data, time series, sparse data, etc.)
    11 KB (1,360 words) - 18:45, 26 November 2020
  • ...n, and processing; Formal conceptual models of human brain data; Knowledge representation and discovery in neuroimaging; Brain-computer interface; Cognition-inspired ...n and reasoning; Reasoning techniques, constraint satisfaction and machine learning; Logic programming, fuzzy logic, neural networks, and uncertainty; State sp
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  • ...rsity-based ensemble; Ensemble Classification; Ensemble Clustering; Active Learning from video streams patterns; Geodesic-based similarities; Leaf species clas ...ion recognition; Shared feature learning; Video-to-Video face recognition; Learning patterns of disabled/elderly; Using therapeutic data; Malignancy-oriented p
    8 KB (942 words) - 18:55, 8 December 2020
  • ...answer set semantics; Local domain symmetry; Knowledge patterns; Knowledge representation; Grounded fixpoints; Supersafe rules; Qualitative spatio-temporal reasoning ...owledge-based systems and automated reasoning; Logical issues in knowledge representation /non-monotonic reasoning/belief; Dempster-Shafer theory; Concurrent computa
    7 KB (764 words) - 18:56, 8 December 2020
  • Multimedia coding and encryption; Multimedia modeling for learning Multimedia semantics; Emergent semantics; Media ontology learning;
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  • ...2020), text simplification (Kochmar et al. 2020, Liu & Hwa 2016), language learning and assessment (Paquot et al. 2019, Christiansen & Arnon 2017), social medi * MWE and construction annotation and representation in resources such as corpora, treebanks, e-lexicons and WordNets
    8 KB (1,134 words) - 18:53, 29 April 2021
  • ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
    16 KB (1,874 words) - 14:47, 10 February 2021
  • Knowledge Discovery and Machine Learning ...earning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data, big data, graph data, time series, sparse data, etc.)
    11 KB (1,361 words) - 14:52, 10 February 2021
  • | COLT || Annual Conference Computational Learning Theory || https://www.wikidata.org/entity/Q75702617 | MLSP || International Workshop on Machine Learning for Signal Processing || https://www.wikidata.org/entity/Q56422379
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  • ...lated trends, Social robots and cognition, Advanced topics in Deep/Machine learning, Advances in system automation, Driver-less cars and unmanned vehicles, The ...ctive adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain conne
    16 KB (1,956 words) - 11:50, 3 March 2021
  • |Field=Advances in fundamentals on databases, Knowledge Discovery and Machine Learning, NoSQL Databases, Current ongoing researches, Databases and other domains Knowledge Discovery and Machine Learning
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  • Modelling and Representation Models of Teaching and Learning
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  • *Knowledge representation *Machine learning
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  • Deep Learning Knowledge Representation and Reasoning
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  • ...ologies; Computational Modeling and Data Integration; Healthcare Knowledge Representation & Reasoning; Health Data Acquisition, Analysis and Mining; Healthcare Infor ...Huiru Zheng, Ulster University, UK. Her research interests include machine learning, bioinformatics, and biomedical informatics, particular in integrative data
    2 KB (272 words) - 09:58, 9 April 2021
  • ...media databases; Multimedia coding and encryption; Multimedia modeling for learning content; Multimedia description languages; Image clustering; Media fusion f Multimedia semantics; Emergent semantics; Media ontology learning; Ontology for media web mining; Multimedia ontologies; Multimedia informati
    10 KB (1,221 words) - 03:35, 3 December 2021