FOREWORD
スポンサーリンク
概要
著者
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
- 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