Thursday, 28 November 2013

Call for Papers: WCCI 2014 Workshop "Advances in Learning from/with Multiple Learners"

Overview
This workshop will cover original and pioneering contributions, theory as well as applications on creating and combining learning models, and aim at an inspiring discussion on the recent progress and the future developments. Learners based on different paradigms can be combined for improved accuracy. Each learning method presupposes some model of the world that comes with a set of assumptions which may lead to error if they do not hold. Lea
rning is an ill-posed
problem and with finite data each algorithm converges to a different soluti
on and fails under
various circumstances. In learning models combinations, it is possible to make
a distinction
between two main modes: ensemble and modular. For an ensemble approach, several solutions to
the same task, or task component, are combined to yield a more reliable es
timate. In the modular
approach, particular aspects of a task are dealt with by specialist c
omponents before being
recombined to form a global solution. In this workshop, the reasons for combining learning
models and the main methods for creating and combining them will be presente
d. Also, the
effectiveness of these methods will be discussed considering the concept
s of diversity and
selection of these approaches.
The workshop will strive to bring together the practitioners of these approaches i
n an attempt to
study a unified framework under which these interactions can be studied, understood,
and
formalized.
Relevant topics
The following is a partial list of relevant topics (not limited to) for the workshop:
·Bagging approaches
· Boosting techniques
· Collaborative clustering
· Collaborative learning
· Cooperative learning
·Ensemble methods
· Hybrid systems
· Mixtures of distributions
· Mixtures of experts
· Modular approaches
·Multi-task learning
· Multi-view learning
· Task decomposition
· Transfer learning with multiple sources
Submission guidelines and special issue
Prospective authors are invited to submit papers according to the IEEE format.
All submissions
should follow the specifications of WCCI 2014. Manuscripts will be submitt
ed through the IEEE
WCCI 2014 paper submission website and will be subject to the same peer-re
view procedure as
the WCCI2014 regular papers. Accepted contributions will be part of the IJCNN confe
rence
proceedings, which will be available in IEEE Xplore.
Authors of the most insightful papers, already accepted for publication, will be
invited to submit
an extended version of their work to a Special Issue of the Neurocomputing journal (IF: 1.634).
Organizers
· Younès Bennani, Paris 13 University
· Guénael Cabanes, Paris 13 University
·Antoine Cornuéjols, AgroParisTech
· Marc Gelgon, Nantes University
· Nistor Grozavu, Paris 13 University
· Cédric Wemmert, University of Strasbourg
Important Dates
· Submission deadline: December 20, 2013
· Notification of acceptance: March 15, 2014
· Camera-ready deadline: April 15, 2014
·
Workshop date: July 5, 2014
Tentative
Program Committe:
Younès Bennani, Paris 13 University, Villetaneuse, France
Guénael Cabanes, Paris 13 University, Villetaneuse, France
Antoine Cornuéjols, AgroParisTech, Paris, France
Marc Gelgon, Nantes University, Nantes, France
Agostino Gibaldi, University of Genova, Italy
Nistor Grozavu, Paris 13 University, Villetaneuse, France
JunBin Gao, Charles Sturt University, Bathurst, Australia
Tomasz Maszczyk, Nicolaus Copernicus University, Toru
, Poland
Vladimir Nikulin, Vyatka State University, Kirov, Russia
Shogo Okada, Tokyo Institute of Technology, Japan
Seiichi Ozawa, Kobe University, Japan
Asim Roy, Arizona State University, USA
Daming Shi, Middlesex University, London, UK
Tatiana Tambouratzis, University of Piraeus, Piraeus, Greece
Draguna Vrabie, UTRC, USA
Cédric Wemmert, University of Strasbourg, Strasbourg, France

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