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

[Carlos Soares]

-------- Original Message --------
Subject: 	CFP - 2nd Planning to Learn Workshop at ICML-08
Date: 	Mon, 07 Apr 2008 17:54:39 +0100
From: 	Pavel Brazdil <pbrazdil at liaad.up.pt>
To: 	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 including the Call for papers for the 2nd Planning to Learn 
(PlanLearn) workshop that will be associated with ICML-08 and other 
co-located conferences (COLT, UAI).

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

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

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

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

   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 2, 2008
   Acceptance notification: May 19, 2008
   Final Paper:  June 20, 2008  

Invited Speakers
Ray Mooney, University of Texas at Austin, USA
Aswin 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
Aswin 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