Conditional Density Estimation Based on Density Ratio Estimation

スポンサーリンク

概要

• 論文の詳細を見る
• 2009-12-17

著者

• Takeuchi Ichiro

  Nagoya Institute of Technology

• Sugiyama Masashi

  Tokyo Inst. Of Technol.

• Hachiya Hirotaka

  Tokyo Inst. Of Technol.

• SUZUKI Taiji

  The University of Tokyo

• KANAMORI Takafumi

  Nagoya University

• OKANOHARA Daisuke

  The University of Tokyo

• Suzuki Taiji

  University of Tokyo

• Suzuki Taiji

  The Univ. Of Tokyo

関連論文

• 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
• Differentially Aberrant Region Detection in Array CGH Data Based on Nearest Neighbor Classification Performance
• Differentially Aberrant Region Detection in Array CGH Data Based on Nearest Neighbor Classification Performance
• 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
• Information-maximization clustering: analytic solution and model selection (情報論的学習理論と機械学習)
• Conditional Density Estimation Based on Density Ratio Estimation
• Conditional Density Estimation Based on Density Ratio Estimation
• Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation
• 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
• Independent component analysis by direct density-ratio estimation (ニューロコンピューティング)
• Analysis and improvement of policy gradient estimation (情報論的学習理論と機械学習)
• Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability(Artificial Intelligence and Cognitive Science)
• 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
• Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration (情報論的学習理論と機械学習)
• Density Difference Estimation (情報論的学習理論と機械学習)
• Density-ratio matching under the Bregman divergence : a unified framework of density-ratio estimation
• Modified Newton Approach to Policy Search (情報論的学習理論と機械学習)
• Multiscale Bagging and Its Applications
• Relative Density-Ratio Estimation for Robust Distribution Comparison (情報論的学習理論と機械学習)
• 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
• Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration (情報論的学習理論と機械学習)
• 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

もっと見る 閉じる

スポンサーリンク