The submission deadline for all tracks at GECCO 2012 has been extended to January 27, 2012
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
**Extended submission deadline: January 27, 2012**
Co-located with the International Workshop on Learning Classifier Systems (IWLCS)
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
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)