Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2010/06/07)

Presentation
Generalization of TD-learning from a Semiparametric Statistical Viewpoint

Tsuyoshi UENO,  Shin-ichi MAEDA,  Motoaki KAWANABE,  Shin ISHII,  

[Date]2010/6/7
[Paper #]IBISML2010-20
New Feature Selection Method for Reinforcement Learning : Conditional Mutual Information Reveals Implicit State-Reward Dependency

Hirotaka HACHIYA,  Masashi SUGIYAMA,  

[Date]2010/6/7
[Paper #]IBISML2010-21
Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise

Makoto YAMADA,  Masashi SUGIYAMA,  

[Date]2010/6/7
[Paper #]IBISML2010-22
An EM algorithm on binary decision diagrams with order encoding for propositional logic-based probabilistic models

Masakazu ISHIHATA,  Yoshitaka KAMEYA,  Taisuke SATO,  Shin-ichi MINATO,  

[Date]2010/6/7
[Paper #]IBISML2010-23
Computational Customer Modeling by Using the Bayesian Network and the Double-latent Class Model in a Retail Service

Tsukasa ISHIGAKI,  Takeshi TAKENAKA,  Youichi MOTOMURA,  

[Date]2010/6/7
[Paper #]IBISML2010-24
A linear time algorithm for sequential dynamic model selection

Eiichi SAKURAI,  Kenji YAMANISHI,  

[Date]2010/6/7
[Paper #]IBISML2010-25
The Coding Divergence for Measuring the Complexity of Separating Two Sets

Mahito SUGIYAMA,  Akihiro YAMAMOTO,  

[Date]2010/6/7
[Paper #]IBISML2010-26
Graph Clustering based on Normalized Maximum Likelihood Coding

So HIRAI,  Ryota TOMIOKA,  Kenji YAMANISHI,  

[Date]2010/6/7
[Paper #]IBISML2010-27
Biases of error rate by selection of models or algorithms and estimating the true error rate

Issei KURAHASHI,  Yasuo OHASHI,  

[Date]2010/6/7
[Paper #]IBISML2010-28
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