[Abnms] CFP: UAI 9th Bayesian Modeling Applications Workshop

Ann Nicholson ann.nicholson at monash.edu
Thu Apr 5 13:22:25 AEST 2012

        UAI 9th Bayesian Modeling Applications Workshop

                                   Call for Papers
                 Saturday, August 18, 2012, Catalina Island


Special theme: Temporal Modeling

The 9th Bayesian Modeling Applications Workshop solicits submissions
of real-world applications of graphical models and Bayesian networks,
in particular those dealing with temporal modeling.  Our desire is to
foster discussion and interchange about novel contributions that can
speak to both the academic and the larger research community.
Accordingly, we seek submissions also from practitioners and tool
developers as well as researchers.

Bayesian networks are now a powerful, well-established technology for
reasoning under uncertainty, supported by a wide range of mature
academic and commercial software tools. They are now being applied in
many domains, including environmental and ecological modeling,
bioinformatics, medical decision support, many types of engineering,
robotics, military, financial and economic modeling, education,
forensics, emergency response, surveillance, and so on. We welcome
submissions describing such real world applications, whether as
stand-alone BNs or where the BNs are embedded in a larger software
system. We encourage authors to address the practical issues involved
in developing real-world applications, such as knowledge engineering
methodologies, elicitation techniques, defining and meeting client
needs, validation processes and integration methods, as well as
software tools, including visualization and user interaction
techniques to these support these activities.

We particularly encourage the submission of papers that address the
workshop theme of temporal modeling.  Recently communities building
dynamic Bayes networks (DBNs) and partially observable MDPs (POMDPs)
are coming to realize that they are applying their methods to
identical applications.  Similarly POMDPs and other probabilistic
methods are now established in the field of Automated
Planning. Stochastic process models such as continuous time Bayes
networks (CTBNs) should also be considered as part of this trend.
Adaptive and on-line learning models also fit into this focus.


Submissions should be in UAI format, limited to 8 pages, using the
online submission process. All papers will be peer reviewed by at
least two independent referees.  Papers must be submitted
electronically in PDF format via the EasyChair online submission page:

We encourage co-submission of applications papers that have been
submitted to the main UAI 2012 conference, as our submission deadline comes
before the UAI acceptance deadline. If accepted for UAI, the paper
would be published in UAI proceedings, but we will invite a poster
presentation at the Workshop also.

Workshop format

The format the workshop will be combination of oral and poster
presentations, with demonstrations encouraged for both, grouped in
sessions to facilitate discussion.

Publication of Proceedings

As in past years, proceedings will be published online (as a CEUR
Workshop Proceedings Volume), and selected papers will be invited to
submit to a special issue of a journal.

Important Dates

    * 1 May 2012:       Abstract submission
    * 5 May 2012:       Full paper submission
    * 11 June 2012:     Author notification
    * 31 July 2012:      Camera ready copy due
    * 18 August 2012: Workshop (following the UAI2012 main conference,
Aug 15-17)

Workshop Chairs

John Mark Agosta (Toyota ITC, USA)
Ann Nicholson (Monash University & Bayesian Intelligence, Australia)
M. Julia Flores (University of Castilla-La Mancha, Spain)

Program Committee

Concha Bielza, Technical University of Madrid, Spain
Dennis M. Buede, Innovative Decisions, Inc., USA
Javier Diez,  UNED, Spain
Marek Druzdzel, University of Pittsburgh, USA & Bialystok University
of Technology, Poland
José A. Gámez, University of Castilla-La Mancha, Spain
Asela Gunawardana, Microsoft Research, USA
Branislav Kveton, Technicolor Research, Palo Alto, USA
Helge Langseth, The Norwegian University of Science and Technology, Norway
Pedro Larrañaga, Technical University of Madrid, Spain
Philippe Leray, Polytech'Nantes, France
Michael Mahoney, Stanford University, Dept of Mathematics, USA
Suzanne Mahoney, Innovative Decisions, USA
Chris Meek,  Microsoft Research, USA
Ole Mengshoel, CMU Silicon Valley Campus, USA
Serafín Moral, University of Granada, Spain
Jens D. Nielsen,  University of Sheffield, UK
Thomas D. Nielsen, Aalborg University, Denmark
Jose M. Peña, Linköping University, Sweden
Pascal Poupart, University of Waterloo, Canada
Antonio Salmerón, University of Almería, Spain
Fabio Stella, University of Milano-Bicocca, Italy
L. Enrique Sucar, INAOE, Mexico
Georgios Theocharous, Yahoo Research, USA

A/Prof. Ann Nicholson
Clayton School of IT, Faculty of Information Technology,
Monash University, Clayton Campus, 3800, Victoria Australia
ann.nicholson at monash.edu
ph: +61 3 9905 5211   fax: +61 3 9905 5146

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