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The Cambridge Companion to Berkeley
  • PDF
  • English
  • Year: 2005
  • Author: Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, Neil D. Lawrence
Dataset Shift in Machine Learning
  • PDF
  • English
  • Year: 2009
  • Author: Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, Neil D. Lawrence
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
  • PDF
  • English
  • Year: 2012
  • Author: Masashi Sugiyama, Motoaki Kawanabe
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 Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers
  • PDF
  • English
  • Year: 2006
  • Author: Joaquin Quiñonero-Candela (auth.), Joaquin Quiñonero-Candela, Ido Dagan, Bernardo Magnini, Florence d’Alché-Buc (eds.)
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers
  • PDF
  • English
  • Year: 2006
  • Author: Joaquin Quiñonero-Candela (auth.), Joaquin Quiñonero-Candela, Ido Dagan, Bernardo Magnini, Florence d’Alché-Buc (eds.)
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