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Masashi Sugiyama

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Machine learning in non-stationary environments
Density ratio estimation in machine learning
Statistical Reinforcement Learning Modern Machine Learning Approaches
Introduction to Statistical Machine Learning
Machine Learning from Weak Supervision An Empirical Risk Minimization Approach
Machine Learning from Weak Supervision
Data Science and Optimization
Dataset Shift in Machine Learning
Statistical Reinforcement Learning Modern Machine Learning Approaches
Statistical Reinforcement Learning: Modern Machine Learning Approaches
Introduction to Statistical Machine Learning
Dataset Shift in Machine Learning
Density Ratio Estimation in Machine Learning
Density Ratio Estimation in Machine Learning
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series)

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