1701 search results - page 211 / 341 » Learning Mappings with Neural Network |
161
click to vote
GECCO
2007
Springer
16 years 1 days ago
2007
Springer
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
169
click to vote
CORR
2010
Springer
15 years 6 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
221
click to vote
IDA
2008
Springer
15 years 6 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
159
click to vote
NN
2002
Springer
15 years 5 months ago
2002
Springer
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
178
click to vote
NPL
1998
15 years 5 months ago
1998
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...