ECAI 2010 WS9
Planning to Learn Workshop (PlanLearn)

Call for Papers


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.

Expected outcome: 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. It is expected that the workshop will help to create a sub-community of ML / DM researchers interested to explore these new venues to ML / DM problems and help thus to advance the research and potential for new type of ML / DM systems.

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.


Invited talks:

Michele Sebag (LRI, France): Monte-Carlo Tree Search: From Playing Go to Feature Selection

Luc de Raedt (U. Leuven, Belgium): Constraint Programming for Data Mining and Machine Learning

Preliminary Schedule in PDF

Important Dates

Submission deadline
(paper or extended abstract)

Extended to May 17, 2010,
Please announce your interest by submitting an Abstract in EasyChair by May 10

Acceptance notification

June 7, 2010

Final Paper

June 20, 2010


August 17, 2010

Expected Duration

1 day

Submission Instructions


  • The language of the workshop is English.
  • Papers should be in PDF format (and in exceptional circumstances in postscript); papers will not be accepted in any other format.
  • All papers should include the names of the authors, their affiliations, their e-mail addresses, and an abstract on their first page.
  • Please restrict yourself to maximal 10 pages.
  • Please follow the instructions given on the corresponding ECAI page for formatting the article. 

Submission system:

  • Submit your paper via EasyChair here


Informal proceedings will be printed by the ECAI-2010 local organisers.
A copy of the proceeeings will be made available for download from the
workshop site.


The organization of this workshop is partially supported by the  European Community 7th framework program ICT-2007.4.4 under grant number 231519 "e-Lico: An e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Science".

Workshop organizers (Program Chair /Co-Chairs)

  • Pavel Brazdil, LIAAD-INESC L.A., University of Porto, mail
  • Abraham Bernstein, University of Zurich, Switzerland mail
  • Jörg-Uwe Kietz, University of Zurich, Switzerland mail

Program Committee

  • Abraham Bernstein, University of Zurich, Switzerland
  • Hedrik Blockeel, University of Leuven, Belgium
  • 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 (to be confirmed)
  • Larry Hunter, Univ. of Colorado at Denver and Health Sciences Center, USA
  • Jörg-Uwe Kietz, University of Zurich, Switzerland
  • 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


All workshop participants need to register for ECAI Conference.