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Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation
  • PDF
  • English
  • Year: 2012
  • Author: Masashi Sugiyama, Motoaki Kawanabe
Statistical Reinforcement Learning: Modern Machine Learning Approaches
  • PDF
  • English
  • Year: 2015
  • Author: Sugiyama, Masashi
Introduction to Statistical Machine Learning
  • PDF
  • English
  • Year: 2016
  • Author: Masashi Sugiyama
Introduction to Statistical Machine Learning
  • PDF
  • English
  • Year: 2016
  • Author: Sugiyama, Masashi
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation
  • DJVU
  • English
  • Year: 2012
  • Author: Sugiyama M., Kawanabe M.
Density Ratio Estimation in Machine Learning
  • PDF
  • English
  • Year: 2012
  • Author: Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori
Variational Bayesian Learning Theory
  • PDF
  • English
  • Year: 2019
  • Author: Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama
Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach
  • PDF
  • English
  • Year: 2022
  • Author: Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai
Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach
  • EPUB
  • English
  • Year: 2022
  • Author: Masashi Sugiyama; Han Bao; Takashi Ishida; Nan Lu; Tomoya Sakai
Yokai wars: demonic manga
  • EPUB
  • English
  • Year: 2012
  • Author: Kawanabe, Kyōsai
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