Sugiyama Masashi | Tokyo Inst. Of Technol.
スポンサーリンク
概要
関連著者
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Sugiyama Masashi
Tokyo Inst. Of Technol.
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Hachiya Hirotaka
Tokyo Inst. Of Technol.
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KANAMORI Takafumi
Nagoya University
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Suzuki Taiji
University of Tokyo
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Suzuki Taiji
The Univ. Of Tokyo
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Takeuchi Ichiro
Nagoya Institute of Technology
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Sugiyama Masashi
Tokyo Institute Of Technology
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SIMM JAAK
Tokyo Institute of Technology
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SUZUKI Taiji
The University of Tokyo
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Sugiyama Masashi
Tokyo Inst. Of Technol. Tokyo Jpn
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Hachiya Hirotaka
Department Of Computer Science Tokyo Institute Of Technology
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Sugiyama Masashi
Department Of Computer Science Tokyo Institute Of Technology
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Yamada Makoto
Tokyo Inst. Of Technol.
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Sugiyama Masashi
Department Of Chemistry Faculty Of Science Tokyo University Of Science
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Sugiyama Masashi
Department of Applied Chemistry, Yamanashi University
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HACHIYA HIROTAKA
Tokyo Institute of Technology
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YAMADA Makoto
Tokyo Institute of Technology
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OKANOHARA Daisuke
The University of Tokyo
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SUGIYAMA Masashi
Department of Computer Science, Tokyo Institute of Technology
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Wichern Gordon
Mit Lincoln Laboratory
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Akiyama Takayuki
Department of Computer Science, Tokyo Institute of Technology
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Akiyama Takayuki
Department Of Computer Science Tokyo Institute Of Technology
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Kimura Manabu
Tokyo Institute Of Technology
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Simm Jaak
Department Of Computer Science Tokyo Institute Of Technology
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Ueki Kazuya
Nec Soft Ltd.
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Ihara Yasuyuki
Nec Soft Ltd.
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Itoh Yuta
Tokyo Institute of Technology
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Kimura Manabu
Tokyo Inst. Of Technol.
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Xie Ning
Department Of Computer Science Tokyo Institute Of Technology
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DU PLESSIS
Tokyo Institute of Technology
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Hido Shohei
IBM Research
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Sese Jun
Ochanomizu University
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Wang Liwei
Peking University, Beijing
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Kato Tsuyoshi
Gunma University
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Morimoto Jun
Atr Computational Neuroscience Laboratories
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Ueki Kazuya
Department Of Science & Engineering Waseda University:nec Soft Ltd.
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Sugiyama Masashi
Tokyo Inst. Technol. Tokyo Jpn
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Wichern Gordon
Mit Lincoln Lab.
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IHARA Yasuyuki
NEC Soft, Ltd.
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Wichern Gordon
Arizona State University
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LIU Song
Tokyo Institute of Technology
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UEKI Kazuya
NEC Soft, Ltd.
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KOBAYASHI Tsubasa
Tokyo Institute of Technology
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XIE Ning
Tokyo Institute of Technology
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NAM Hyunha
Tokyo Institute of Technology
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SIMM Jaak
Tallinn University of Technology
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Nguyen Tuan
Tokyo Institute of Technology
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MAGRANS DE
Tokyo Institute of Technology
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Zhao Tingting
Tokyo Institute of Technology
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Mori Syogo
Tokyo Institute of Technology
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Tangkaratt Voot
Tokyo Institute of Technology
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SlMM JAAK
Tokyo Institute of Technology
著作論文
- Statistical active learning for efficient value function approximation in reinforcement learning (ニューロコンピューティング)
- Lighting Condition Adaptation for Perceived Age Estimation
- Computationally Efficient Multi-task Learning with Least-squares Probabilistic Classifiers
- A Unified Framework of Density Ratio Estimation under Bregman Divergence
- Adaptive importance sampling with automatic model selection in value function approximation (ニューロコンピューティング)
- Improving Model-based Reinforcement Learning with Multitask Learning
- Improving Model-based Reinforcement Learning with Multitask Learning
- Least-Squares Conditional Density Estimation
- Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers
- カーネル密度比推定の統計的解析(学習問題の解析,テキスト・Webマイニング,一般)
- A Semi-Supervised Approach to Perceived Age Prediction from Face Images
- Conditional Density Estimation Based on Density Ratio Estimation
- Conditional Density Estimation Based on Density Ratio Estimation
- A density ratio approach to two-sample test (パターン認識・メディア理解)
- A density ratio approach to two-sample test (情報論的学習理論と機械学習)
- Theoretical Analysis of Density Ratio Estimation
- FOREWORD
- Superfast-Trainable Multi-Class Probabilistic Classifier by Least-Squares Posterior Fitting
- Direct Importance Estimation with Gaussian Mixture Models
- Improving the Accuracy of Least-Squares Probabilistic Classifiers
- Artist agent A[2]: stroke painterly rendering based on reinforcement learning (パターン認識・メディア理解)
- Artist agent A[2]: stroke painterly rendering based on reinforcement learning (情報論的学習理論と機械学習)
- Least-Squares Independence Test
- Density Difference Estimation
- Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering
- Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
- Early stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier
- Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifiers
- Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems
- Constrained Least-Squares Density-Difference Estimation
- A Density-ratio Framework for Statistical Data Processing
- Computationally Efficient Multi-task Learning with Least-squares Probabilistic Classifiers
- Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation
- A Density-ratio Framework for Statistical Data Processing
- FOREWORD
- On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion