1238 search results - page 1 / 248 » The Cascade-Correlation Learning Architecture |
ICMLA
2008
13 years 8 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
NIPS
1989
13 years 8 months ago
1989
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
ICANN
2003
Springer
14 years 2 days ago
2003
Springer
We consider the Contextual Recursive Cascade Correlation model (CRCC), a model able to learn contextual mappings in structured domains. We propose a formal characterization of the ...
AUSAI
2005
Springer
14 years 13 days ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
IJCNN
2006
IEEE
14 years 27 days ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...