2712 search results - page 291 / 543 » On learning algorithm selection for classification |
202
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SARA
2007
Springer
16 years 22 days ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
194
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NIPS
1994
15 years 8 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
238
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AI
2002
Springer
15 years 6 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
152
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...
165
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BMCBI
2006
15 years 6 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...