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