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Variational Bayesian Learning Theory
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  • English
  • Year: 2019
  • Author: Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama
Variational Bayesian Learning Theory
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  • English
  • Year: 2019
  • Author: Nakajima, S.;Watanabe, K.;Sugiyama, M.
Statistical Reinforcement Learning: Modern Machine Learning Approaches
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  • English
  • Year: 2015
  • Author: Sugiyama, Masashi
Introduction to Statistical Machine Learning
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  • English
  • Year: 2016
  • Author: Masashi Sugiyama
Introduction to Statistical Machine Learning
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  • English
  • Year: 2016
  • Author: Sugiyama, Masashi
Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I
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  • English
  • Year: 2007
  • Author: Shinichi Nakajima, Sumio Watanabe (auth.), Joaquim Marques de Sá, Luís A. Alexandre, Włodzisław Duch, Danilo Mandic (eds.)
Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I
  • PDF
  • English
  • Year: 2007
  • Author: Shinichi Nakajima, Sumio Watanabe (auth.), Joaquim Marques de Sá, Luís A. Alexandre, Włodzisław Duch, Danilo Mandic (eds.)
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation
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  • English
  • Year: 2012
  • Author: Masashi Sugiyama, Motoaki Kawanabe
Density Ratio Estimation in Machine Learning
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  • English
  • Year: 2012
  • Author: Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori
Graphite Fluorides
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  • Year: 1988
  • Author: Nobuatsu Watanabe, Tsuyoshi Nakajima and Hidekazu Touhara (Eds.)
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