C A L L     F O R     P A P E R S
Workshop on Learning from non-IID data: Theory, Algorithms and Practice

During ECML-PKDD 2009
7 September 2009, Bled, Slovenia


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:


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


Paper submission deadline: June 10, 2009 Notification of acceptance: June 30, 2009 Final camera ready submissions: August 15, 2009 Workshop: September 7, 2009


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


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


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

See the workshop Web page at: