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Category:   E-CFP
Subject:   ICML'05 Workshop - Learning with Partially Classified Training Data
From:   Massih-Reza Amini
Email:   Massih-Reza.Amini_(on)_lip6.fr
Date received:   15 Feb 2005
Start date:   07 Aug 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_(on)_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/%7Eamini/lpctd_icml05.html _______________________________________________ Elsnet-list mailing list Elsnet-list_(on)_mailman.elsnet.org http://mailman.elsnet.org/mailman/listinfo/elsnet-list

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