409 search results - page 7 / 82 » Evolutionary learning of small networks |
106
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ICDM
2002
IEEE
15 years 4 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
HAIS
2008
Springer
15 years 23 days ago
2008
Springer
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
113
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FLAIRS
2008
15 years 2 months ago
2008
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
CEC
2010
IEEE
15 years 25 days ago
2010
IEEE
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...
CORR
2010
Springer
14 years 11 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 ...