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 | | Statistical Reinforcement Learning Modern Machine Learning Approaches by Masashi Sugiyama Paperback, Published 2020 by Chapman & Hall ISBN-13: 978-0-367-57586-1, ISBN: 0-367-57586-8 |
 | | Variational Bayesian Learning Theory(1st Edition) by Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama, Frederick Cooper Hardcover, 558 Pages, Published 2019 by Cambridge University Press ISBN-13: 978-1-107-07615-0, ISBN: 1-107-07615-3 |
 | | Density Ratio Estimation in Machine Learning(Reprint) by Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori Paperback, 341 Pages, Published 2018 by Cambridge University Press ISBN-13: 978-1-108-46173-3, ISBN: 1-108-46173-5 |
 | | Introduction to Statistical Machine Learning(1st Edition) by Masashi Sugiyama Paperback, 534 Pages, Published 2015 by Morgan Kaufmann ISBN-13: 978-0-12-802121-7, ISBN: 0-12-802121-7 |
 | | Machine Learning from Weak Supervision An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learning series) by Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai, Gang Niu Hardcover, 320 Pages, Published 2022 by The Mit Press ISBN-13: 978-0-262-04707-4, ISBN: 0-262-04707-1 |
 | | Statistical Reinforcement Learning(1st Edition) Modern Machine Learning Approaches (Chapman & Hall/Crc Machine Learning & Pattern Recognition) by Masashi Sugiyama, Hirotaka Hachiya, Tetsuro Morimura Hardcover, 206 Pages, Published 2015 by Chapman And Hall/Crc ISBN-13: 978-1-4398-5689-5, ISBN: 1-4398-5689-3 |
 | | Machine Learning in Non-Stationary Environments Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) by Masashi Sugiyama, Motoaki Kawanabe, Francis Bach Hardcover, 280 Pages, Published 2012 by The Mit Press ISBN-13: 978-0-262-01709-1, ISBN: 0-262-01709-1 |
 | | Density Ratio Estimation in Machine Learning(1st Edition) by Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori Hardcover, 342 Pages, Published 2012 by Cambridge University Press ISBN-13: 978-0-521-19017-6, ISBN: 0-521-19017-7 |
 | | Dataset Shift in Machine Learning(1st Edition) (Neural Information Processing series) by Masashi Sugiyama, Anton Schwaighofer, David Corfield, Steffen Bickel, Karsten Borgwardt, Amir Globerson, Amos Storkey, Takafumi Kanamori, Hidetoshi Shimodaira, Arthur Gretton, Jiayuan Huang, Marcel Schmittfull, Tobias Scheffer, Sam Roweis, Matthias Hein, Neil Rubens, Bernhard Schölkopf, Michael Brückner, Neil D. Lawrence, Joaquin Quiñonero-Candela, Shai Ben-David, Lars Kai Hansen, Klaus-Robert Müller, Alexander J. Smola, Choon Hui Teo, Michael I. Jordan, Masashi Sugiyamamasashi Sugiyama Hardcover, 248 Pages, Published 2008 by The Mit Press ISBN-13: 978-0-262-17005-5, ISBN: 0-262-17005-1 |
 | | Machine Learning in Non-Stationary Environments Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) by Masashi Sugiyama, Motoaki Kawanabe Published 2012 by The Mit Press ISBN-13: 978-0-262-30122-0, ISBN: 0-262-30122-9 |
 | | Statistical Reinforcement Learning Modern Machine Learning Approaches by Masashi Sugiyama ISBN-13: 978-1-03-270811-9, ISBN: 1-03-270811-5 |
 | | Variational Bayesian Learning Theory by Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama Published 2019 by Cambridge University Press ISBN-13: 978-1-316-99721-5, ISBN: 1-316-99721-9 |
 | | Variational Bayesian Learning Theory by Shin'ichi Nakajima, Kazuho Watanabe, Masashi Sugiyama Published 2019 ISBN-13: 978-1-107-43076-1, ISBN: 1-107-43076-3 |
 | | Variational Bayesian Learning Theory by Shin'ichi Nakajima, Kazuho Watanabe, Masashi Sugiyama 543 Pages, Published 2019 ISBN-13: 978-1-139-87935-4, ISBN: 1-139-87935-9 |
 | | Statistical Reinforcement Learning Modern Machine Learning Approaches by Masashi Sugiyama, Hirotaka Hachiya, Tetsuro Morimura 206 Pages, Published 2015 by Crc Press ISBN-13: 978-1-4398-5690-1, ISBN: 1-4398-5690-7 |
 | | Statistical Reinforcement Learning by Masashi Sugiyama Published 2015 ISBN-13: 978-1-336-19420-5, ISBN: 1-336-19420-0 |
 | | Introduction to Statistical Machine Learning by Masashi Sugiyama 534 Pages, Published 2015 by Morgan Kaufmann ISBN-13: 978-0-12-802350-1, ISBN: 0-12-802350-3 |
 | | Density Ratio Estimation in Machine Learning by Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki Published 2012 ISBN-13: 978-1-139-22728-5, ISBN: 1-139-22728-9 |
 | | Adaptive Computation and Machine Learning Ser. Machine Learning in Non-Stationary Environments : Introduction to Covariate Shift Adaptation by Masashi Sugiyama, Motoaki Kawanabe Digital, Published 2012 by Mit Press ISBN-13: 978-1-280-49922-7, ISBN: 1-280-49922-2 |
 | | Density Ratio Estimation in Machine Learning by Masashi Sugiyama Published 2012 ISBN-13: 978-1-139-23025-4, ISBN: 1-139-23025-5 |
Masashi Sugiyama
