Sugiyama Masashi

发表

Computationally Efficient Estimation of Squared-loss Mutual Information with Multiplicative Kernel Models

Sakai Tomoya, Sugiyama Masashi, 2013 .

Advances in Statistical Machine Learning -- An Approach based on Probability Density Ratios

Sugiyama Masashi, 2010 .

Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier

Sugiyama Masashi, Kobayashi Tsubasa, 2012 .

Artist Agent (A^2): Stroke Painterly Rendering Based on Reinforcement Learning

Sugiyama Masashi, Xie Ning, Hachiya Hirotaka, 2011 .

Good Arm Identification via Bandit Feedback

Sugiyama Masashi, Nakamura Atsuyoshi, Kano Hideaki, 2017 .

Document Classification by Local Fisher Discriminant Analysis

Sugiyama Masashi, 2009 .

Support consistency of direct sparse-change learning in Markov networks

Sugiyama Masashi, Liu Song, Suzuki Taiji, 2014 .

Multi-Task Learning with Positive and Unlabeled Data and Its Application to Mental State Prediction

Sugiyama Masashi, Kaji Hirotaka, Yamaguchi Hayato, 2017 .

Direct Density Ratio Estimation with Convolutional Neural Networks with Application in Outlier Detection

Sugiyama Masashi, Nam Hyunha, 2014 .

Non-Convex Optimization of Robust Support Vector Regression by Utilizing Parametric Programming

Takeuchi Ichiro, Sugiyama Masashi, Suzumura Shinya, 2013 .

Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning

Sugiyama Masashi, Sakai Tomoya, Niu Gang, 2017 .

Optimization for Robust Support Vector Machine Utilizing Homotopy Approach

Takeuchi Ichiro, Sugiyama Masashi, Suzumura Shinya, 2013 .

Multi-task Learning with Least-Squares Probabilistic Classifiers

Sugiyama Masashi, Kato Tsuyoshi, Simm Jaak, 2010 .

Return distribution estimation with dynamic programming

Sugiyama Masashi, Hachiya Hirotaka, Kashima Hisashi, 2010 .

Salient Object Detection Based on Direct Density-Ratio Estimation

Sugiyama Masashi, Yamanaka Masao, Matsugu Masakazu, 2012 .

Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation

Sugiyama Masashi, Hachiya Hirotaka, Akiyama Takayuki, 2007 .

Methods of Cross-Domain Object Matching

Sugiyama Masashi, Yamada Makoto, 2010 .

Detection of Activities and Events without Explicit Categorization

Sugiyama Masashi, Yamanaka Masao, Matsugu Masakazu, 2012 .

New Feature Selection Method for Reinforcement Learning -- Conditional Mutual Information Reveals Implicit State-Reward Dependency

Sugiyama Masashi, Hachiya Hirotaka, 2010 .

Importance-Weighted Covariance Estimation for Robust Common Spatial Pattern

Sugiyama Masashi, Balzi Alessandro, Yger Florian, 2014 .

Positive-Unlabeled Learning with Non-Negative Risk Estimator

Sugiyama Masashi, Niu Gang, Kiryo Ryuichi, 2017 .

A study on an optimization algorithm for semi-supervised SVM using parametric programing

Takeuchi Ichiro, Sugiyama Masashi, Ogawa Kohei, 2012 .

Improving Model-based Reinforcement Learning with Multitask Learning

Sugiyama Masashi, Hachiya Hirotaka, Simm Jaak, 2009 .

Hierarchical Reinforcement Learning Based on Return-Weighted Density Estimation

Sugiyama Masashi, Osa Takayuki, 2017 .

Coping with Class Balance Change in Classification : Class-Prior Estimation with Energy Distance

Sugiyama Masashi, Marthinus Christoffel du Plessis, Kawakubo Hideko, 2014 .

An Online Policy Gradient Algorithm for Continuous State and Action Markov Decision Processes with Bandit Feedback

Sugiyama Masashi, Ma Yao, 2014 .

Automatic Audio Tagging and Retrieval Using Semi-Surpervised Canonical Density Estimation

Sugiyama Masashi, Yamada Makoto, Kimura Akisato, 2010 .

Embedding of labeled multimodal data

Sugiyama Masashi, Shinada Yuki, 2006 .

Global Solution of Variational Bayesian Matrix Factorization Under Matrix-wise Independence

Sugiyama Masashi, Nakajima Shinichi, Babacan Derin, 2011 .

SemiCCA: Efficient semi-supervised learning of canonical correlations

Sugiyama Masashi, Sakano Hitoshi, Kimura Akisato, 2012 .

Relative Density-Ratio Estimation for Robust Distribution Comparison

Sugiyama Masashi, Yamada Makoto, Hachiya Hirotaka, 2011 .

Stochastic Divergence Minimization for Biterm Topic Model

Sugiyama Masashi, Sato Issei, Cui Zhenghang, 2017 .

Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags

Sugiyama Masashi, Sakai Tomoya, Sato Issei, 2017 .

On Automatic Dimensionality Selection in Probabilistic PCA

Sugiyama Masashi, Nakajima Shinichi, Babacan Derin, 2011 .

Visual inspection of precision instruments by least-squares outlier detection.

Sugiyama Masashi, Takimoto Masafumi, Matsugu Masakazu, 2009 .

Learning from Complementary Labels

Sugiyama Masashi, Niu Gang, Ishida Takashi, 2017 .

Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifier

Sugiyama Masashi, Hachiya Hirotaka, Nam Hyunha, 2011 .

A New Meta-Criterion for Regularized Subspace Information Criterion

Sugiyama Masashi, Hidaka Yasushi, 2007 .

Generalization of Matrix Factorization for Robust PCA

Sugiyama Masashi, Nakajima Shinichi, Babacan Derin, 2011 .

Improving the Accuracy of Least-Squares Probabilistic Classifiers

Sugiyama Masashi, Simm Jaak, Yamada Makoto, 2010 .

Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds

Sakai Tomoya, Sugiyama Masashi, Sasaki Hiroaki, 2016 .

Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Sufficient Dimension Reduction

Sugiyama Masashi, Sasaki Hiroaki, Tangkaratt Voot, 2014 .

Designing various multivariate analysis at will via generalized pairwise expression

Sugiyama Masashi, Sakano Hitoshi, Kimura Akisato, 2012 .