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GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 4 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull
ICWL
2007
Springer
14 years 4 months ago
Discovery of Educational Objective on E-Learning Resource: A Competency Approach
It is indeed important to implement e-Learning platforms for education and training purposes in a variety of domains. However, facing the enormous amount of learning resources, gui...
Shi-Ming Huang, Hsiang-Yuan Hsueh, Jing-Shiuan Hua
NIPS
2000
13 years 11 months ago
Temporally Dependent Plasticity: An Information Theoretic Account
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
Gal Chechik, Naftali Tishby
ML
1998
ACM
148views Machine Learning» more  ML 1998»
13 years 10 months ago
Colearning in Differential Games
Game playing has been a popular problem area for research in artificial intelligence and machine learning for many years. In almost every study of game playing and machine learnin...
John W. Sheppard
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa