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JSAI International Symposium on Artificial Intelligence

JSAI-isAI 2010: New Frontiers in Artificial Intelligence pp 165–166Cite as

First International Workshop on Advanced Methodologies for Bayesian Networks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6797))

Abstract

The First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010) was held on November 18–19, 2010, at the Campus Innovation Center in Tokyo, Japan. It was part of the second JSAI International Symposium on AI (JSAI–isAI 2010), and was co-hosted by the Minato Discrete Structure Manipulation System Project on Exploratory Research for Advanced Technology (ERATO) of the Japan Science and Technology Agency (JST). It was supported by Mathematical Systems Inc.

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Author information

Authors and Affiliations

  1. The University of Electro-Communications, Japan

    Maomi Ueno

  2. Sony Computer Science Laboratories, Inc., Japan

    Takashi Isozaki

Authors
  1. Maomi Ueno
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  2. Takashi Isozaki
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Editor information

Editors and Affiliations

  1. System Engineering Research Lab., CRIEPI, 2-11-1, Iwado Kita, 201-8511, Komae-shi, Tokyo, Japan

    Takashi Onada

  2. Graduate School of Humanities and Sciences, Faculty of Science, Department of Information Science, Ochanomizu University, Otsuka 2-1-1, 112-8610, Bunkyo-ku, Tokyo, Japan

    Daisuke Bekki

  3. Department of English, 4-4-25 Shibuya, Aoyama Gakuin University, 150-8366, Shibuya-ku, Tokyo, Japan

    Elin McCready

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ueno, M., Isozaki, T. (2011). First International Workshop on Advanced Methodologies for Bayesian Networks. In: Onada, T., Bekki, D., McCready, E. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2010. Lecture Notes in Computer Science(), vol 6797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25655-4_15

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  • DOI: https://doi.org/10.1007/978-3-642-25655-4_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25654-7

  • Online ISBN: 978-3-642-25655-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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