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GECCO 2012: Call for Papers on GENETICS-BASED MACHINE LEARNING (GBML)

2012 Genetic and Evolutionary Computation Conference (GECCO-2012)
The largest conference in the field of evolutionary computation
July 7-11, Philadelphia, USA
http://www.sigevo.org/gecco-2012/

**Extended submission deadline: January 27, 2012**

Co-located with the International Workshop on Learning Classifier
Systems (IWLCS)
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The Genetics-Based Machine Learning (GBML) track at GECCO covers all
advances in theory and application of evolutionary computation methods
to Machine Learning (ML) problems.

ML presents an array of paradigms -- unsupervised, semi-supervised,
supervised, and reinforcement learning -- which frame a wide range of
clustering, classification, regression, prediction and control tasks.

Evolutionary methods have a range of uses in ML:
- addressing subproblems of ML e.g.
  - feature selection and construction
  - optimising parameters of other ML methods
- as learning methods e.g.
  - generating classification hypotheses with Genetic Programming
  - learning control systems or cognitive modelling with Learning
Classifier Systems
- as meta-learners which adapt base learners e.g.
  - evolving the structure and weights of neural networks
  - evolving the data base and rule base in genetic fuzzy systems
  - evolving ensembles of base learners
  - evolving representations, update rules or algorithms for base
    learners

The global search performed by evolutionary methods can complement the
local search of non-evolutionary methods and combinations of the two
are particularly welcome.

Free tutorials include:
- Learning Classifier Systems
- Large Scale Data Mining using Genetics-Based Machine Learning

Track Chairs

Dr. Will Browne, Victoria University of Wellington, NZ (will.browne -
at- ecs -dot- vuw -dot- ac -dot- nz)

Dr. Tim Kovacs, University of Bristol, U.K. (kovacs -at- cs -dot- bris
-dot- ac -dot- uk)

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