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 | | 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 |
 | | 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 |
 | | 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 |
 | | 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 |
 | | 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 |
 | | Density Ratio Estimation in Machine Learning by Masashi Sugiyama Published 2012 ISBN-13: 978-1-139-23025-4, ISBN: 1-139-23025-5 |
 | | Density Ratio Estimation in Machine Learning by Masashi Sugiyama Published 2012 ISBN-13: 978-1-139-03561-3, ISBN: 1-139-03561-4 |
 | | Density Ratio Estimation in Machine Learning by Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki Published 2012 ISBN-13: 978-1-139-23172-5, ISBN: 1-139-23172-3 |
 | | Adaptive Computation and Machine Learning Ser. Machine Learning in Non-Stationary Environments : Introduction to Covariate Shift Adaptation by Masashi Sugiyama, Motoaki Kawanabe 280 Pages, Published 2012 by Mit Press ISBN-13: 978-0-262-30043-8, ISBN: 0-262-30043-5 |
 | | 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 |
 | | Neural Information Processing Ser. Dataset Shift in Machine Learning by Masashi Sugiyama, Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero-Candela Published 2008 ISBN-13: 978-0-262-25772-5, ISBN: 0-262-25772-6 |
 | | Neural Information Processing Dataset Shift in Machine Learning by Masashi Sugiyama, Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero-Candela Published 2008 ISBN-13: 978-0-262-25510-3, ISBN: 0-262-25510-3 |
 | | Statistical Reinforcement Learning Modern Machine Learning Approaches by Masashi Sugiyama ISBN-13: 978-1-03-270811-9, ISBN: 1-03-270811-5 |
 | | 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 |
 | | ToÃÑkeiteki gakushuÃÑ no kiso deÃÑta mainingu suiron yosoku by Trevor Hastie, Robert Tibshirani, J. H. Friedman, Masashi Sugiyama, Tsuyoshi Ide, Toshihiro Kamishima, Yoshihisa Ijiri, トレバー ヘイスティ 853 Pages, Published 2014 ISBN-13: 978-4-320-12362-5, ISBN: 4-320-12362-X |
 | | Machine Learning in Non-Stationary Environments by Masashi Sugiyama, Motoaki Kawanabe Digital, 279 Pages, Published 2012 by Mit Press (Ma) ISBN-13: , ISBN: |
Masashi Sugiyama
