4255 search results - page 252 / 851 » On Learning Boolean Functions |
171
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ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
172
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NIPS
1998
15 years 8 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
173
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BMCBI
2007
15 years 6 months ago
2007
Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...
191
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ATAL
2010
Springer
15 years 7 months ago
2010
Springer
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
182
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TEC
2008
15 years 6 months ago
2008
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...