Call for Papers ECML-PKDD 09 WS: Learning from non-IID Data

Call for Papers ECML-PKDD 09 WS: Learning from non-IID Data

Posted by Rebecca Martin on Tue, 09/06/2009 - 14:58

Workshop on Learning from non-IID data: Theory, Algorithms and Practice
During ECML-PKDD 2009
7 September 2009, Bled, Slovenia

Last Call for Papers
Please note the change of the submission deadline, that is now June 14th, 2009.
Note that we now expect interested researchers to submit abstracts (200/300 words) by June 11th, 2009.

DESCRIPTION
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Both classification and regression frameworks in Machine Learning were developed under the independently and identically distributed (IID) assumption. Though this assumption helps to study the properties of learning procedures (e.g. generalization ability), and also guides the building of new algorithms, there are many real world situations where it does not hold. This is particularly the case for many challenging tasks of machine learning that have recently received much attention such as (but not limited to): ranking, active learning, hypothesis testing, learning with graphical models, prediction on graphs, mining (social) networks, multimedia or language processing.

In this workshop, we will discuss recent developments, explore new issues and share ideas for future directions for learning from non-IID data. We welcome papers that address any of the above questions or that focus on any of the following topics:

* Theoretical: results on generalization bounds and learnability, contributions that mathematically formalize the types of non-IIDness encountered, results on the extent to which non-IIDness does not harm the validity of theoretical results built on the IID assumption, helpfulness of the online learning framework,
* Algorithmic: theoretically motivated algorithms designed to handle non-IID data, approaches that make it possible for classical learning results to carry over, online learning procedures,
* Practical: successful applications of non-IID learning methods to learning from streaming data, web data, biological data, multimedia, natural language, social network mining.

SUBMISSION
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Please send to lniid09@liste.lif.univ-mrs.fr by email the following:

- A full paper up to 8 pages for one of the 3 tracks:
(1) Oral presentation,
(2) Poster spotlights,
(3) Posters.

- 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 LNCS templates available at: http://www.springer.com/computer/lncs/lncs+authors?SGWID=0-40209-0-0-0 and submitted as a PDF or postscript file.

IMPORTANT DATES
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Abstract submission deadline: June 10, 2009
Paper submission deadline has been extended to: June 14, 2009
Notification of acceptance: June 30, 2009
Final camera ready submissions: August 15, 2009
Workshop: September 7, 2009

ORGANIZERS
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Massih-Reza Amini, National Research Council, Canada
Amaury Habrard, University of Marseille, France
Liva Ralaivola, University of Marseille, France
Nicolas Usunier, University Pierre et Marie Curie, France

PROGRAM COMMITTEE
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Shai Ben-David, University of Waterloo, Canada
Gilles Blanchard, Fraunhofer FIRST (IDA), Germany
Stéphan Clémençon, Télécom ParisTech, France
François Denis, University de Provence, France
Claudio Gentile, University dell'Insubria, Italy
Balaji Krishnapuram, Siemens Medical Solutions, USA
François Laviolette, Université Laval, Canada
Xuejun Liao, Duke University, USA
Richard Nock, University Antilles-Guyane, France
Daniil Ryabko, INRIA, France
Marc Sebban, University of Saint-Etienne, France
Ingo Steinwart, Los Alamos National Labs, USA
Masashi Sugiyama, Tokyo Institute of Technology, Japan
Nicolas Vayatis, Ecole Normale Supérieure de Cachan, France
Zhi-Hua Zhou, Nanjing University, China

KEYNOTE SPEAKERS
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Shai Ben-David, University of Waterloo, Canada
Nicolas Vayatis, Ecole Normale Supérieure de Cachan, France

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