Workshop on Support Vector Machines - IJCAI '99
2 August, 1999 Stockholm, Sweden
http://www.dcs.rhbnc.ac.uk/research/compint/areas/comp_learn/sv/ijcai.html
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Over the past few years, Support Vector Machines (SVMs) have become an
increasingly popular subject for theoretical study in a nature of learning
theory, and as a practical classification, regression, and general
learning method. In the last twelve months this was particularly
noticeable both from the number of researchers working on
the subject and the number of submissions of Support Vector (and related
work) to international conferences. This workshop will represent an
opportunity for the community to debate current research and future
directions.
The workshop will encourage collaboration between interested parties, and
provide an environment which achieves
the following goals:
* To attain an overview of recent work in the field of Support Vector
machines including theory and applications.
* To explore connections with other methods.
* To identify directions and stimulate future research in the field of
learning.
It is our aim that the discussion among workshop participants will be
focussed on the following areas :
* Theory of the Support Vector Method
* Algorithms
* Experiments on Benchmark Data Sets
* Applications to real life problems
In particular, we expect active discussions about
* Mathematical foundations of the SV approach (such as optimisation theory).
* Performance bounds.
* Kernels - including spline kernels, ANOVA kernels, etc.
* Regularisation.
* Transduction.
* Applications to text categorisation (especially in connection with
the Internet), medical diagnosis, face recognition, etc.
IMPORTANT DATES
Submission deadline 26 March 1999
Notification of acceptance 30 April 1999
Camera ready copy 24 May 1999
Workshop 2 August 1999
SUBMISSION PROCEDURE
Papers should be no longer than 5 pages, and must be submitted in the
IJCAI format. Papers must be in a postscript format and can be submitted
through the web page for an oral and/or poster presentation.
The URL (which has more information on it) for this call for papers is :
http://www.dcs.rhbnc.ac.uk/research/compint/areas/comp_learn/sv/ijcai.html
For more details about ICJAI '99 look at :
http://www.dsv.su.se/ijcai-99/