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Density Ratio Estimation in Machine Learning - Sugiyama, Masashi (Tokyo Institute of Technology) a Suzuki, Taiji (University of Tokyo) a Kanamori, Takafumi (Nagoya University, Japan)

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. The book introduces theories, methods and applications of density ratio estimation. This is the first and definitive treatment of the entire framework of density ratio estimation.

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