Kashima Hisashi | Tokyo Research Laboratory Ibm Research
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概要
関連著者
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Kashima Hisashi
Tokyo Research Laboratory Ibm Research
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久保山 哲二
学習院大学計算機センター
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Kuboyama Tetsuji
Center For Collaborative Res. Univ. Of Tokyo
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Kuboyama Tetsuji
Research Center For Advanced Sciencece And Technology Center For Collaborative Research The Universi
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久保山 哲二
九州大学大学院システム情報科学研究科知能システム学専攻
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久保山 哲二
東京大学生産技術研究所
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久保山 哲二
九州大学大学院総合理工学研究科雨宮研究室
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KASHIMA Hisashi
Tokyo Research Laboratory, IBM Research
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Sugiyama Masashi
Department of Applied Chemistry, Yamanashi University
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YASUDA Hiroshi
Research Center for Radiation Protection, National Institute of Radiological Sciences
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HIRATA KOUICHI
Department f Artificial Intelligence, Kyushu Institute of Technology
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IDÉ Tsuyoshi
Tokyo Research Laboratory, IBM Research
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KATO Tsuyoshi
Center for Informational Biology, Ochanomizu University
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AOKI KINOSHITA
Faculty of Engineering, Soka University
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Aoki Kinoshita
Faculty Of Engineering Soka University
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Hirata Kouichi
Department Of Artificial Intelligence Kyushu Institute Of Technology
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Ide Tsuyoshi
Tokyo Research Laboratory Ibm Research
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Sugiyama Masashi
Department Of Computer Science Tokyo Institute Of Technology
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Adachi Norihiko
Graduate School Of Informatics Kyoto University
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FUKAO Takanori
Graduate School of Informatics, Kyoto University
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Fukao Takanori
Graduate School Of Informatics Kyoto University
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Kashima Hisashi
Univ. Of Tokyo Tokyo Jpn
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Yasuda Hiroshi
Research Center For Advanced Science And Technology University Of Tokyo
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Yasuda Hiroshi
Research Center For Advanced Science And Technology The University Of Tokyo
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Sugiyama Masashi
Department Of Chemistry Faculty Of Science Tokyo University Of Science
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Kato Tsuyoshi
Center For Informational Biology Ochanomizu University
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Hido Shohei
Tokyo Research Laboratory, IBM Research
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Bickel Steffen
Department of Computer Science, University of Potsdam
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Tsuboi Yuta
Tokyo Research Laboratory, IBM Research
著作論文
- A spectrum tree kernel (論文特集:データマイニングと統計数理)
- A Spectrum Tree Kernel
- Recent Advances and Trends in Large-Scale Kernel Methods
- Decentralized Adaptive Control with Improved Transient Performance
- Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation