[Elsnet-list] CFP: ICML'05 Workshop - Learning with Partially Classified Training Data

Massih-Reza.Amini at lip6.fr Massih-Reza.Amini at lip6.fr
Wed Feb 9 17:54:22 CET 2005


                             Apologies for any cross postings
                           ------------------------------------


                      Call for Position Papers and Participation

                Workshop on Learning with Partially Classified Training Data

                                     During ICML'2005
                             August 7, 2005. Bonn, Germany




DESCRIPTION
-----------
Many real-life applications may involve huge datasets in which 
exhaustive sample-labeling requires expensive human resources and is 
often unrealistic. For example, in Bioinformatics or many Information 
Retrieval tasks, labeling data is a time consuming and a difficult task. 
For other problems such as remote sensing or medical imaging, labeling 
data may require very expensive tests so that only a small set of 
labeled data may be available. In some other domains, like targeted 
marketing, only a few positive samples are available while unlabeled 
examples are plentiful. In all these cases, we need to find ways of 
relieving the users of the annotation burden.

We will discuss recent developments, explore new issues and share ideas 
for future directions. We welcome papers that address any of the above 
questions or that focus on any of the following topics:

  * Learning applications, in Bioinformatics or Information Access 
areas, using both labeled and unlabeled data with techniques including:
    - Multi-modal semi-supervised methods: co-training or co-boosting,
    - EM like semi-supervised techniques,
    - Discriminative approaches,
    - Markov random fields,
    - Maximum Entropy with unlabeled data,
  * Diagnostic applications or theoretical issues to characterize the 
role and the importance of unlabeled samples for learning,
  * Techniques measuring the amount of information contained in 
error-prone samples relative to perfectly labeled observations,
  * Kernels for semi-supervised learning, i.e. how to create good 
kernels using both labeled and unlabeled data,
  * Tasks where unlabeled data may degrade the performance,
  * Query-based and active learning,
  * Learning with positive only labeled data,
  * Transductive inference,
  * Constrained clustering.


SUBMISSION
----------
Please send to amini at poleia.lip6.fr by email in PDF or postscript in the 
ICML format the following:

- A full paper 6-10 pages or an extended abstract of less than 2000 
words for one of the 3 tracks:
          (1) Oral presentation,
          (2) Research in progress,
          (3) posters or demos.

- In the body of your email, include (in plain ASCII): names of all 
authors, their affiliations, their physical and email addresses and the 
track number which corresponds to your submission.

Submissions will be reviewed for technical soundness, relevance, 
significance and clarity by the organizing and review committee and 
invitations to present will be sent accordingly.

The full paper should be formatted according to the standard ICML 
templates available at: http://icml2005.kdnet.org/papers/format/  and 
then converted to pdf or postscript.


IMPORTANT DATES
---------------
Paper submission deadline: April 1, 2005
Notification of acceptance: April 22, 2005
Final camera ready submissions:  May 13, 2005
Workshop: August 7, 2005


PUBLICATION
-----------
Accepted papers will be published in official workshop proceedings, 
which will be distributed on CDs to participants during the workshop.


ORGANIZERS
----------
Massih-Reza Amini, University Pierre et Marie Curie, France
Olivier Chapelle, Max Planck Institute for Biological Cybernetics, Germany
Rayid Ghani, Accenture Technology Labs, USA


REVIEW COMMITTEE
----------------
Massih-Reza Amini, University Pierre et Marie Curie, France
Olivier Chapelle, Max Planck Institute for Biological Cybernetics, Germany
Ian Davidson, University at Albany, State University of New-York, USA
François Denis, Fondamental Computer Science of Marseille, France
Patrick Gallinari, University of Pierre and Marie Curie, France
Eric Gaussier, Xerox Research, Centre Europe, France
Rayid Ghani, Accenture Technology Labs, USA
Cyril Goutte, Xerox Research, Centre Europe, France
Yves Grandvalet, University of Compiègne, France
Neil Lawrence, University of Sheffield, United Kingdom
Craig Saunders, University of Southampton, United Kingdom
Kiri Wagstaff, Jet Propulsion Laboratory, NASA, USA
Dengyong Zhou, Max Planck Institute for Biological Cybernetics, Germany
Xiaojin Zhu, Carnegie Mellon University, USA
Alexander Zien, Max Planck Institute for Biological Cybernetics, Germany


KEYNOTE SPEAKERS
----------------
Yoshua Bengio, University of Montréal, Canada
Zoubin Ghahramani, University College London, United Kingdom
Matthias Seeger, University of California Berkeley, USA


----------------------------------------------------
See the workshop Web page at:
http://www-connex.lip6.fr/~amini/lpctd_icml05.html



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