[Fwd: CFP - 2nd Planning to Learn Workshop at ICML-08 - Extended Deadline]

[Carlos Soares]

-------- Mensagem Original --------
Assunto: 	CFP - 2nd Planning to Learn Workshop at ICML-08 - Extended 
Deadline
Data: 	Tue, 06 May 2008 17:51:48 +0100
De: 	Pavel Brazdil <pbrazdil at liaad.up.pt>
Para: 	ashwin at cc.gatech.edu, Carlos Soares <csoares at liaad.up.pt>, 
cgc at cs.byu.edu, Luc.DeRaedt at cs.kuleuven.be, maarten at science.uva.nl, 
oli.ray at gmail.com, Peter.Flach at bristol.ac.uk, vilalta at cs.uh.edu, Filip 
Zelezny <zelezny at fel.cvut.cz>, Rui Leite <rleite at liaad.up.pt>, Saso 
Dzeroski <Saso.Dzeroski at ijs.si>, Tom Mitchell <tom.mitchell at cs.cmu.edu>, 
Vojtech Svatek <Svatek at vse.cz>
CC: 	Abraham Bernstein <bernstein at ifi.unizh.ch>, Pavel Brazdil 
<pbrazdil at liaad.up.pt>, Larry Hunter <Hunter at 180Glencoe.com>



Dear Colleagues,

I am not sure whether you got this information yesterday from Avi B., 
and so, to be sure, I am including it here.

This email includes the 2nd Call for papers for the 2nd Planning to 
Learn (PlanLearn) workshop with extended deadline to May 13.
The workshop will be associated with ICML-08 and other co-located 
conferences (COLT, UAI).

Could you please distribute it to your colleagues, contacts and/or lists 
you may have access to?

Many thanks!
Regards
Pavel Brazdil
(also for Avi Bernstein and Larry Hunter)

PS. Besides 2 invited talks we have a reasonable number of submissions 
(6), so the workshop will go ahead. However, we have space for a couple 
more, should there still someone interested. This is why we are sending 
this email.

************************************************

***  2nd PLANNING TO LEARN (PlanLearn) Workshop  ***
                Call for Extended Abstracts

   Workshop co-located with ICML / COLT / UAI 2008
   July 9, 2008, Helsinki, Finland
   http://www.ifi.uzh.ch/ddis/events/planlearn08/

Important Dates:
   Abstract submission  due: May 13, 2008  <- Extended
   Acceptance notification: May 26, 2008 <- Extended
   Final Paper:  June 20, 2008

Invited Speakers
Ray Mooney, University of Texas at Austin, USA
Ashwin Ram, Georgia Tech, USA

Motivation
The task of constructing composite systems, that is systems composed of
more than one part, can be seen as interdisciplinary area which builds
on expertise in different domains. The aim of this workshop is to
explore the possibilities of constructing such systems with the aid of
Machine Learning and exploiting the know-how of Data Mining. One way of
producing composite systems is by inducing the constituents and then by
putting the individual parts together.
For instance, a text extraction system may be composed of various
subsystems, some oriented towards tagging, morphosyntactic analysis or
word sense disambiguation. This may be followed by selection of
informative attributes and finally generation of the system for the
extraction of the relevant information. Machine Learning techniques may
be employed in various stages of this process.
The problem of constructing complex systems can thus be seen as a
problem of planning to resolve multiple (possibly interacting) tasks.
So, one important issue that needs to be addressed is how these multiple
learning processes can be coordinated. Each task is resolved using
certain ordering of operations. Meta-learning can be useful in this
process. It can help us to retrieve previous solutions conceived in the
past and re-use them in new settings.
The aim of the workshop is to explore the possibilities of this new
area, offer a forum for exchanging ideas and experience concerning the
state-of-the art, permit to bring in knowledge gathered in different but
related and relevant areas and outline new directions for research.

Of particular interest are methods and proposals that address the
following issues:
Planning to construct composite systems,
Exploitation of ontologies of tasks and methods,
Representation of learning goals and states in learning,
Control and coordination of learning processes,
Recovering / adapting sequences of DM operations,
Meta-learning and exploitation of meta-knowledge,
Layered learning,
Multi-task learning,
Transfer learning,
Multi-predicate learning (and other relevant ILP methods),
Combining induction and abduction,
Multi-strategy learning,
Learning to learn.
Other areas may be covered, provided they are relevant towards the
overall aims of the workshop.

Organization
Workshop organizers (Program Chair /Co-Chairs)
Pavel Brazdil, LIAAD-INESC L.A., University of Porto, pbrazdil AT
liaad.up.pt
Abraham Bernstein, University of Zurich, Switzerland mail
Larry Hunter, Univ. of Colorado at Denver and Health Sciences Center, USA

Program Committee
Abraham Bernstein, University of Zurich, Switzerland
Pavel Brazdil, LIAAD, University of Porto, Portugal
Christophe Giraud-Carrier, Brigham Young University, USA
Saso Dzeroski, IJS, Ljubljana
Peter Flach, Univ. of Bristol, Great Britain
Larry Hunter, Univ. of Colorado at Denver and Health Sciences Center, USA
Rui Leite, LIAAD, University of Porto, Portugal
Tom Mitchell, Carnegie-Mellon Univ., USA (advisory role)
Oliver Ray, Univ. of Bristol, Great Britain
Ashwin Ram, Georgia Tech, USA
Luc de Raedt, University of Leuven, Belgium
Carlos Soares, LIAAD, University of Porto, Portugal
Maarten van Someren, University of Amsterdam, The Netherlands
Vojtech Svatek, Univ. of Economics, Prague, Czech Republic
Ricardo Vilalta, University of Houston, USA.
Filip Zelezny, Czech Technical University, Czech Republic