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7 résultats
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triés par
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Subspace Identification for Predictive State Representation by Nuclear Norm MinimizationIEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2014), Dec 2014, Orlando, United States
Communication dans un congrès
hal-01104423v1
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Learning of scanning strategies for electronic support using predictive state representationsInternational Workshop on Machine Learning for Signal Processing (MLSP 2015), Sep 2015, Boston, United States
Communication dans un congrès
hal-01225807v1
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PAC learning of Probabilistic Automaton based on the Method of MomentsInternational Conference on Machine Learning (ICML 2016), Jun 2016, New York, United States
Communication dans un congrès
hal-01406889v1
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Non-negative Spectral Learning for Linear Sequential Systems22nd International Conference on Neural Information Processing (ICONIP2015), Nov 2015, Istanbul, Turkey
Communication dans un congrès
hal-01225838v1
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Méthodes des moments pour l'inférence de systèmes séquentiels linéaires rationnelsApprentissage [cs.LG]. Université de Lille 1 - Sciences et Technologies, 2016. Français. ⟨NNT : ⟩
Thèse
tel-01374080v1
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A Non-Parametric Approach to Approximate Dynamic ProgrammingICMLA 2011, Dec 2011, Honolulu, Hawaii, United States. pp.1-6
Communication dans un congrès
hal-00652438v1
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Spectral learning with proper probabilities for finite state automationASRU 2015 - Automatic Speech Recognition and Understanding Workshop, Dec 2015, Scottsdale, United States
Communication dans un congrès
hal-01225810v1
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