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• KDD 2016
  ...large-scale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimi ...ression methods, deep learning, semi-supervised learning, and unsupervised learning and clustering.
  2 KB (282 words) - 10:48, 8 February 2020
• ICDLT 2017
  |Title=ICDLT 2017 : ACM--2017 International Conference on Deep Learning Technologies (ICDLT 2017)--Ei Compendex and Scopus
  439 bytes (52 words) - 13:48, 25 September 2016
• ACM--ICDLT 2017
  |Title=ACM--ICDLT 2017 : ACM--2017 International Conference on Deep Learning Technologies (ICDLT 2017)--Ei Compendex and Scopus |Field=information technology, e-learning , machine learning, multimedia
  451 bytes (52 words) - 13:48, 25 September 2016
• COLT 2017
  |Title=30th Annual Conference on Learning Theory |Field=Computational Learning Theory
  2 KB (240 words) - 15:50, 21 May 2019
• INFORMATIK 2017
  * WS 34 Deep Learning in heterogenen Datenbeständen
  7 KB (852 words) - 09:34, 27 April 2017
• INTECH 2017
  Workshop on Deep Learning Applications (http://www.dirf.org/intech/deep-learning-applications/) E-Learning, e-Commerce, e-Business and e-Government
  5 KB (631 words) - 15:09, 10 April 2017
• KESW 2017
  * System descriptions and best practices in linked learning ...ents who would like to discuss their ideas and get feedback before they go deep developing them.
  7 KB (988 words) - 09:50, 14 August 2019
• WIMS 2018
  *Indexing and Information Extraction from the (Semantic) Deep Web *Knowledge Extraction and Ontology Learning from the Web
  18 KB (2,394 words) - 16:28, 29 January 2018
• SemDeep 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
• NLIWoD 2017
  - Deep Learning for Natural Language Interaction
  5 KB (693 words) - 10:36, 16 July 2017
• ODBASE 2017
  data analytics and machine learning, social networks, distributed and mobile ...ig) data analytics, data mining, and machine learning (incl. semantic deep learning)
  6 KB (798 words) - 23:16, 24 February 2020
• LAWCN 2017
  * Reinforcement learning * Learning and memory Attention
  14 KB (1,941 words) - 11:55, 8 August 2017
• ICSESS 2017
  Machine Learning and Pattern Recognition Machine Learning and Neural Networks
  5 KB (673 words) - 09:53, 3 September 2017
• MTAP-1083T 2017 : MTAP Special Issue on Data Preprocessing for Big Multimedia Data
  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
• HPGDML 2017
  |Title=HPGDML 2017 : High Performance Graph Data Mining and Machine Learning Workshop HPGDML'17: High Performance Graph Data Mining and Machine Learning Workshop
  6 KB (860 words) - 11:52, 8 August 2017
• TRAP 2017
  deep learning and classification.
  6 KB (824 words) - 09:04, 3 September 2017
• EI--CCISP 2017 : EI--2017 2nd International Conference on Communication, Image and Signal Processing
  AI & Deep Learning
  2 KB (327 words) - 13:30, 28 July 2017
• INNS-BDDL 2018
  |Title=3rd INNS Conference on Big Data and Deep Learning |Field=machine learning
  6 KB (824 words) - 19:42, 29 October 2020
• SI BWild 2017 : Image and Vision Computing (IVC) Special Issue on Biometrics in the Wild
  |Field=machine learning • Deep learning approaches for unconstrained biometric recognition,
  3 KB (403 words) - 13:30, 28 July 2017
• SCDS 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

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