>
> CALL FOR PAPERS
>
>
> ***************************************************
> * FUZZ-IEEE 2001 WORKSHOP ON MODELLING WITH WORDS *
> ***************************************************
>
> FUZZ-IEEE 2001 Conference
>
> University of Melbourne,
> Australia.
>
> December 2nd / 3rd 2001
>
> http://www.enm.bris.ac.uk/ai/enjl/workshop.html
>
> CONFERENCE WEBPAGE http://www.studentadmin.unimelb.edu.au/fuzzy/
>
>
>This workshop will provide a forum to share research on the emerging field
>of "modelling with words", a field at the intersection of fuzzy
>information granulation and machine learning. This field has built upon
>the computing with words paradigm originally introduced by Zadeh to
>capture the idea of computation based on linguistic terms rather than
>numerical quantities. However, where computing with words has focused on
>inference from linguistic knowledge bases, the focus of modelling with
>words has been in acquiring/learning such models. One of the
>distinguishing features of this new field is that it decomposes
>information spaces into imprecise regions or fuzzy granules that are
>subsequently used to model systems. These models may either be learnt
>from example data or provided by human experts or a combination of both.
>In fact, the fusion of these sources of information plays a central role
>in modelling with words. Typically, the acquired systems aggregate the
>granular information using probabilistic or fuzzy reasoning
>techniques.
>
>Recent work has demonstrated (with approaches such as fuzzy decision
>trees, Cartesian granule feature modelling, weighted rules and fuzzy
>prototyping) that the modelling with words paradigm enhances both model
>tractability and transparency on the one hand and generalisation power on
>the other. To-date, however, this work has typically been limited to small
>world problems (with tens of features/attributes/variables). One of the
>key challenges that lies ahead for this paradigm is the issue of
>scalability to large problem domains (such as text categorisation). In
>scaling these approaches, how can transparency be maintained and possibly
>enhanced? The need to model larger scale and more complex systems in a
>transparent way necessitates the development of feature selection
>techniques as well as other methods of finding appropriate sub-models and
>then combining them. Other issues that need further research include
>which words can be used to partition information spaces? Are there limits
>on the granularity? How can granular models be merged? Can this paradigm
>accommodate incremental learning? What is the best formal framework for
>learning and representing linguistic models?
>
>It is hoped that the submissions to this workshop will address these and
>other issues that provide not only a challenge for the paradigm modelling
>with words, but also an interesting future for this field. Both
>theoretical and applied contributions are welcome (examples of problem
>domains include information retrieval, computer vision, decision support
>systems, profiling etc.)
>
>
>IMPORTANT DATES:
>Extended Abstract Submission: June 1, 2001
>Notification of Acceptance: August 1, 2001
>Final Paper Submission Due: September 1, 2001
>Workshop Dates: December 2-3, 2001
>
>
>SUBMISSION DETAILS Papers must be submitted electronically in postscript
>format to the session organization (see addresses below). Please follow
>the guidelines for paper submission outlined by IEEE at
>http://www.ieee.org/. Final paper submissions must not exceed 6 printed
>pages, including all figures and tables.
>
>Please send electronic copies of documents to j.lawry@bris.ac.uk or
>Shanahan@xrce.xerox.com. Hard copies should be sent to the organisers at
>one of the addresses given below
>
>INQUIRIES: For additional information, please contact the workshop
>organisers.
>
>Organizing and Program Committee
>
>Jonathan LAWRY
>Department of Engineering Mathematics University
>of Bristol, BS8 1TR, UK E-mail: J.Lawry@bris.ac.uk Tel: +44-117-9288184
>Fax: +44-117-9251154
>
>James G. SHANAHAN
>Xerox Research Centre Europe (XRCE) Grenoble Laboratory
>6 chemin de Maupteruis, 38240 Meylan, France
>E-mail:Shanahan@xrce.xerox.com Tel: +33-476-615113 Fax: +33-476-615099
>
>
>
>
>Dr Jonathan Lawry,
>Dept. Engineering Mathematics,
>University of Bristol,
>Queens Building,
>University Walk,
>Bristol, BS8 1TR, UK
>
>Email:j.lawry@bristol.ac.uk
>Tel:+44 117 928 8184
>http://www.fen.bris.ac.uk/engmaths/ai/enjl/jonathan.html
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