483 search results - page 27 / 97 » Learning Relational Sum-Product Networks |
DAGM
2007
Springer
15 years 2 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
86
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ML
1998
ACM
14 years 10 months ago
1998
ACM
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
GECCO
2010
Springer
15 years 3 months ago
2010
Springer
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
116
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UAI
1998
15 years 4 days ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
BIBM
2007
IEEE
15 years 5 months ago
2007
IEEE
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...