Suzuki Hideyuki | Department of Mathematical Informatics, The University of Tokyo
スポンサーリンク
概要
Department of Mathematical Informatics, The University of Tokyo | 論文
- Least Absolute Policy Iteration — A Robust Approach to Value Function Approximation
- Cartesian Kernel : An Efficient Alternative to the Pairwise Kernel
- Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation
- Regularization Strategies and Empirical Bayesian Learning for MKL
- Output Divergence Criterion for Active Learning in Collaborative Settings