开课单位--拉瓦尔大学
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PAC-Bayes Theory in Supervised Learning[PAC贝叶斯理论在指导学习]
  François Laviolette(拉瓦尔大学) PAC-Bayes Theory in Supervised Learning
热度：69

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Poster session[海报会议]
  Amir-massoud Farahmand;Yevgeny Seldin; Mohammad Ghavamzadeh;Aurélie Boisbunon; Stefan Kremer; Morteza Haghir Chehreghani; Nicolas Baskiotis; Alexandre Lacoste; Marina Sapir; Yuri Grinberg(拉瓦尔大学)
热度：60

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PAC-Bayes, Sample Compress and Kernel Methods[PAC贝叶斯，样品的压缩和核方法]
  Pascal Germain(拉瓦尔大学)
热度：31

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Learning the Difference between Partially Observable Dynamical Systems[学习部分可观察的动态系统之间的差异]
  François Laviolette(拉瓦尔大学) We propose a new approach for estimating the difference between two partially observable dynamical systems. We assume that one can interact with the s...
热度：26

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PAC-Bayesian Learning of Linear Classifiers[线性分类器的PAC贝叶斯学习]
  Mario Marchand(拉瓦尔大学) We present a general PAC-Bayes theorem from which all known PAC-Bayes bounds are simply obtained as particular cases. We also propose different learni...
热度：63
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