Accepted papers

The Role of Operation Granularity in Search-Based Learning of Latent Tree Models
Tao Chen, Nevin L. Zhang and Yi Wang

Optimal Dirichlet Prior for Bayesian Network
Maomi Ueno

Parameter Learning of a Cerebral Cortex Model based on a Bayesian Network
Yuuji Ichisugi

Discrete Structure Manipulation System and Applications for Uncertain Data Processing
Shin-ichi Minato

Using Bayesian Networks for Model-Based Multiple Clusterings: An Example of Exploratory Analysis on NBA Data
Leonard K. M. Poon, Nevin L. Zhang, Tao Chen, Tengfei Liu and Yi Wang

Statistical Inference of Natural Direct and Indirect Effects and its Application
Fumiaki Kobayashi and Manabu Kuroki

Modeling the Dynamic Topology of Bayesian Networks for Time Series Data
Navid Bazzazzadeh

A Family of CCCP Algorithms which Minimize the TRW Free Energy
Yu Nishiyama, Xingyao Ye and Alan Yuille

Latent Conditional Independence Test for Bayesian Network IRT
Takamitsu Hashimoto and Maomi Ueno

Information Acquisition for General Bayesian Networks with Uncertain Observations
Ronnie Johansson and Christian Mårtenson

Parameter Learning for Bayesian Networks on Shared Binary Decision Diagrams
Masakazu Ishihata, Taisuke Sato and Shin-ishi Minato

Information Criteria and their Strong Consistency for Learning Bayesian Networks
Joe Suzuki

Computational Prediction and Control of Injury Risk Using Bayesian Network
Koji Nomori, Yoshifumi Nishida, Yoichi Motomura and Tatsuhiro Yamanaka

Applied Human Modeling using Bayesian Networks in Service Engineering
Yoichi Motomura

Discovering Unconfounded Causal Relationships using Linear Non-Gaussian Models
Doris Entner and Patrik O. Hoyer

MAP Inference on ZDD-based Representation of Bayesian Networks
Kiyoharu Hamaguchi

Integrating Probabilistic Reasoning and Logic for Expressing Human Inference with Uncertainty
Masaaki Nishino and Akihiro Yamamoto