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- |Title=ICLR 2017 : 5th International Conference on Learning Representations |Field=machine learning, deep learning, learning representation420 bytes (45 words) - 19:29, 1 April 2022
- |Title=Seventh International Conference on Learning Representations |Field=machine learning, deep learning, learning2 KB (251 words) - 19:57, 1 April 2022
- |Title=Eighth International Conference on Learning Representations |Field=machine learning, deep learning, learning2 KB (270 words) - 19:57, 1 April 2022
- 1. Modelling and Representation:<br> *Models of groups and communities for learning3 KB (295 words) - 20:23, 1 April 2022
- |Title=VSI: DL-Fusion 2018 : Special issue On “Deep Learning for Information Fusion” - Information Fusion (Elsevier) |Field=machine learning3 KB (371 words) - 19:34, 1 April 2022
- |Title=18th IEEE International Conference on Machine Learning and Applications |Field=Computer Science, Artificial Intelligence,Machine Learning and Applications4 KB (430 words) - 19:42, 1 April 2022
- * Embedding and Manifold Learning * Similarity and Distance Learning4 KB (358 words) - 19:05, 1 April 2022
- * Machine Learning and Data Mining * Learning Graphical Models and Complex Networks1 KB (154 words) - 19:51, 1 April 2022
- • Knowledge representation and reasoning • Machine learning3 KB (284 words) - 19:58, 1 April 2022
- ...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 (711 words) - 19:32, 1 April 2022
- 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,4 KB (518 words) - 19:33, 1 April 2022
- * Deep learning theory and applications in KDD * Explainable machine learning2 KB (268 words) - 19:58, 1 April 2022
- *Knowledge Representation and Reasoning *Machine Learning Applications2 KB (303 words) - 20:29, 1 April 2022
- Problem representation Connections between black-box optimization and machine learning927 bytes (105 words) - 20:19, 1 April 2022
- * Machine learning and big data analytics, * Biomedical knowledge acquisition and representation,2 KB (198 words) - 20:31, 1 April 2022
- Representation Machine Learning and Data Mining4 KB (441 words) - 20:37, 1 April 2022
- Modelling and Representation Models of Teaching and Learning979 bytes (128 words) - 11:51, 6 April 2022
- |Title=Eleventh International Conference on Principles of Knowledge Representation and Reasoning |Field=Knowledge Representation and Reasoning3 KB (435 words) - 20:52, 1 April 2022
- ...al Intelligence, Reinforcement Learning, Knowledge Representation, Machine Learning |Has coordinator=Machine Learning Group of Université Libre de Bruxelles (ULB), Artificial Intelligence Lab2 KB (248 words) - 19:42, 1 April 2022
- | 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 (369 words) - 20:36, 1 April 2022