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
DESCRIPTION
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
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:
- Oral presentation,
- Poster spotlights,
- 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
Paper submission deadline: June 10, 2009
Notification of acceptance: June 30, 2009
Final camera ready submissions: August 15, 2009
Workshop: September 7, 2009
ORGANIZERS
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
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
KEYNOTE SPEAKERS
Shai Ben-David, University of Waterloo, Canada
Nicolas Vayatis, École Normale Supérieure de Cachan, France
See the workshop Web page at:
http://www-connex.lip6.fr/~amini/ecml-wk-lniid.html