81 search results - page 1 / 17 » A representational ecology for learning classifier systems |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
GECCO
2007
Springer
13 years 8 months ago
2007
Springer
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper presents the design and implementation of an adaptive open-set speaker identification system with genetic learning classifier systems. One of the challenging problems i...
ACL
2006
13 years 6 months ago
2006
We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
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...