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  • |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

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