2178 search results - page 57 / 436 » Problems of learning in multi-agent systems |
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
GECCO
2006
Springer
14 years 1 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...
CIDU
2010
13 years 8 months ago
2010
Active learning has been successfully applied to many natural language processing tasks for obtaining annotated data in a cost-effective manner. We propose several extensions to an...
ATAL
2009
Springer
14 years 4 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
GECCO
2009
Springer
14 years 4 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...