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- |Title=ICLR 2017 : 5th International Conference on Learning Representations |Field=machine learning, deep learning, learning representation365 bytes (40 words) - 13:37, 17 February 2021
- |Title=Seventh International Conference on Learning Representations |Field=machine learning, deep learning, learning2 KB (245 words) - 14:03, 17 February 2021
- |Title=Eighth International Conference on Learning Representations |Field=machine learning, deep learning, learning2 KB (264 words) - 14:03, 17 February 2021
- |Title=VSI: DL-Fusion 2018 : Special issue On “Deep Learning for Information Fusion” - Information Fusion (Elsevier) |Field=machine learning3 KB (364 words) - 13:40, 17 February 2021
- |Title=18th IEEE International Conference on Machine Learning and Applications |Field=Computer Science, Artificial Intelligence,Machine Learning and Applications3 KB (425 words) - 13:50, 17 February 2021
- * Embedding and Manifold Learning * Similarity and Distance Learning3 KB (351 words) - 13:12, 17 February 2021
- * Machine Learning and Data Mining * Learning Graphical Models and Complex Networks1 KB (148 words) - 13:57, 17 February 2021
- • Knowledge representation and reasoning • Machine learning3 KB (277 words) - 14:05, 17 February 2021
- 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) - 13:40, 17 February 2021
- * Deep learning theory and applications in KDD * Explainable machine learning2 KB (261 words) - 14:03, 17 February 2021
- ...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) - 13:39, 17 February 2021
- * Machine learning and big data analytics, * Biomedical knowledge acquisition and representation,2 KB (180 words) - 14:16, 17 February 2021
- Representation Machine Learning and Data Mining4 KB (438 words) - 12:20, 17 February 2021
- ...al Intelligence, Reinforcement Learning, Knowledge Representation, Machine Learning |Has coordinator=Machine Learning Group of Université Libre de Bruxelles (ULB), Artificial Intelligence Lab2 KB (243 words) - 13:50, 17 February 2021
- | Field = Machine learning ...this series of workshops is to bring together researchers from the Machine Learning, Pattern Recognition, Signal Processing and Communications communities, in3 KB (366 words) - 12:20, 17 February 2021
- |Title=Eleventh International Conference on Principles of Knowledge Representation and Reasoning |Field=Knowledge Representation and Reasoning3 KB (430 words) - 13:34, 17 February 2021
- |Title=6th ACM Conference on Learning at Scale * Novel assessments of learning, including those drawing on computational techniques for automated, peer, o4 KB (555 words) - 14:04, 17 February 2021
- Shape Representation Knowledge Representation and High-Level Vision3 KB (339 words) - 14:12, 17 February 2021
- Knowledge representation Learning1 KB (139 words) - 12:23, 17 February 2021
- * Norm learning and emergence <big>Area 5 – Knowledge Representation, Reasoning and Planning6 KB (659 words) - 11:52, 17 February 2021