Dates: November 18-19, 2010
Venue: Campus Innovation Center, Tokyo
　　　　　　　　　　　　　　　3-3-6 Shibaura, Minato-ku, Tokyo, Japan

Aims and Scope

Over the last few decades, Bayesian Networks (BNs) have become an increasingly popular AI approach. In this workshop we explore methodologies for enhancing the effectiveness of BNs including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented discussions of practical considerations for applying BNs in real world settings, covering concerns like scalability, incremental learning, parallelization, and so on.

Call for Papers

We welcome contributions related to the following topics, but are not limited to:

  • Probabilistic Reasoning using Bayesian Networks
  • Combination of Probabilistic Reasoning and Logic in Bayesian Networks
  • Learning Bayesian Networks
  • Causal Discovery
  • Causal Inference
  • Advanced Application of Bayesian Networks

Important Dates

Abstract Submission Deadline: August 25, 2010
Notification: September 20, 2010
Camera Ready due: October 20, 2010
AMBN 2010: November 18-19, 2010

Extended Abstracts written in English should be 1 page in length and in pdfformat.

Authors should submit extended abstracts using our EasyChair associated
site: http://www.easychair.org/conferences/?conf=ambn2010

Selected papers will be published in Springer's Lecture Notes in Artificial Intelligence (LNAI).

The authors of accepted papers who want to submit full paper to LNAI should also submit the manuscript using the above site by December 1st 2010.After the review period, authors will be informed about the acceptance of papers.

Accommodations

To be announced.

Financial Support for Students

To be announced.

Organizers

Workshop co-chairs

  • Maomi Ueno (The University of Electro-Communications, Japan)
  • Takashi Isozaki (Fuji Xerox Co., Ltd./The University of Electro-Communications, Japan)

Progam Committee

  • Hei Chan (The Institute of Statistical Mathematics, Japan)
  • Arthur Choi (UCLA, USA)
  • Koichi Hirata (Kyushu Institute of Technology, Japan)
  • Burton H. Lee (Stanford University, USA)
  • Axel Hochstein (Stanford University, USA)
  • Chao Lin-Liu (National Chengchi University, Taiwan)
  • Robert Mateescu (Microsoft Research, USA)
  • Jian-Qin Liu (National Institute of Information and Communications Technology, Japan)
  • Neil Rubens (The University of Electro-Communications, Japan)
  • Yi Wang (The Hong Kong University of Science & Technology, China)
  • Changhe Yuan (Mississippi State University, USA)

Contact

Takashi Isozaki (Fuji Xerox Co., Ltd./The University of Electro-Communications)
email:

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