Workshop on planing to learn (PLANLEARN 2007)


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CfP: ECML/PKDD Workshop on Planing to Learn


=== PLANNING TO LEARN (PlanLearn) ===

    Call for Papers

Workshop co-located with ECML/PKDD-07
September 17, 2007 â€" Warsaw, Poland

http://www.ifi.uzh.ch/ddis/planlearn07.html

=== Important Dates ===

  • Paper submission deadline: June 30th, 2007
  • Notification of acceptance/rejection: July 21st, 2007
  • Camera-ready deadline: July 28th, 2007

=== Motivation and General Description ===

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.

=== Lines of 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.

=== Format of the workshop ===

The workshop will include an invited talk and scientific presentations.
Interaction among the participants will be encouraged through a panel
discussion.

=== Organization ===

=== Program Committee ===

=== Submitting Information ===

End