[UAI] CaNew'2002 Extended Deadline: April 10th

From: Ramon Sangüesa (sanguesa@lsi.upc.es)
Date: Mon Mar 25 2002 - 10:18:32 PST

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    ==========================================================================
                                CaNew'2002

      3rd Bayesian and Causal Networks Workshop: from inference to data mining
                                July 23, 2002
                        Lyon, France, European Union

                   A workshop held in conjunction with the

                 Fifthteenth Biennial European Conference on
                    Artificial Intelligence (ECAI 2002)

             July 21th-26th, 2000, Lyon, France, European Union
    =============================================================================

    What the Workshop is About

         The workshop will focus on several topics on the area of Bayesian
    and Causal Networks. Special emphasis will be places on the properties
    of networks related to inference, conditional independence, semantics,
    and equivalence condition for structures using alternative uncertainty
    calculi. In a similar vein, important topics will be on innovation
    learning methods, specially those integrating various forms of prior
    knowledge or departing from the traditional algorithms, i.e.,
    incremental methods or scalabe algorithms (in the sense of being able
    to cope with large number of variables o big volumes of data).
    Applications are also welcome as well as methodological papers.
    Participants are encouraged to submit descriptions of work in progress
    on all areas. Selected papers will be published in The International
    Journal of Approximate Reasoning after the workshop and following a
    second review phase.

    Topics:

        Properties and expressiveness of Bayesian and causal networks
            Conditional Independency relationships in networks
            New inference methods
            Relation to other formalisms for example:
                Causal theories
                Default Logics
            Expression in other formalisms uncertainty formalisms
                Possibilistic Networks

        Learning methods
            Identifying Causal Parameters
            Dependence-based methods
            Information-based methods
            Hybrid methods
            Learning in the presence of noise, hidden variables and
    incomplete data
            Comparative studies

        Practical applications
            Scaling up to large volumes of data
            Data Mining applications
            Applications to industry and services
            Applications in web mining and user modelling

    New or improved techniques or methods, as well as innovative
    applications are welcome. Presentations of the current state of
    ongoing research projects or applications, and contributions
    emphasizing integration of various technologies or paradigms are
    especially welcome.

    Important Dates

         April 10, 2002- Deadline for submission of papers
         May 5, 2002 - Notification of acceptance/rejection
         May 31, 2002 - Final revised camera-ready copies
         July 22, 2002 - Workshop

    Workshop Committee

    Co-chairs

         Ulises Cortés, Artificial Intelligence section, Technical
    University of Catalonia, Catalonia (ia@lsi.upc.es)
         Ramon Sangüesa, Artificial Intelligence section, Technical
    University of Catalonia, Catalonia (sanguesa@lsi.upc.es) (Contact
    person)
         Simon Parsons, Department of Computer Science at the University of
    Liverpool. UK. (S.D.Parsons@csc.liv.ac.uk )

    Committee

         Luís M. De Campos, Departamento de Ciencias de la Computación e I.
    A., E.T.S. Ingeniería Informática, University of Granada, 18071 Granada
         (Spain) (lci@decsai.ugr.es)

         Hector Geffner, Universitat Pompeu Fabra, Barcelona, (Spain).

         Serafin Moral. Departamento de Ciencias de la Computación e I. A.,
    E.T.S. Ingeniería Informática, University of Granada, 18071 Granada
    (Spain)

         Juan F. Huete, Departamento de Ciencias de la Computación e I. A.,
    E.T.S. Ingeniería Informática, University of Granada, (Spain)
         (smc@decsai.ugr.es)

         Arno Siebes, Computer Science, University of Utrech. Utrech. (The
    Netherlands). (arno.siebes@cs.uu.nl)

         Marco Ramoni, Knowledge Media Institute, The Open University,
    Walton Hall, Milton Keynes , (United Kindgdom) MK7 6AA
         (M.Ramoni@open.ac.uk).

    Address for Submissions and Further Information

    FORMAT: Please use the ECAI format for papers that can be found at:
    http://ecai2002.univ-lyon1.fr/show_en.pl?page=en/cfp/style.html#format
    To ease the acceptation process proposals have to be submitted
    electronically (Word for Windows or Unix compatible postscript) to
    both co-chairs Ramon Sangüesa and Ulises Cortés, at the following
    address:

    Ulises Cortés / Ramon Sangüesa
    Artificial Intelligence section
    Dept. of Software
    Technical University of Catalonia
    Campus Nord - Edifici C5
    Jordi Girona 1-3
    E-08034 Barcelona
    Catalonia, Spain
    Voice: + 34 93 401 70 16 / + 34 93 401 73 34
    Fax: + 34 93 401 70 14
    e-mail: ia@lsi.upc.es, sanguesa@lsi.upc.es

    Further information on ECAI 2002 is available at the ECAI 2002 home
    page.

    The URL of this Workshop home page is
    http://www.lsi.upc.es/~sanguesa/CaNew2002.html



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