204 search results - page 30 / 41 » Learning locally minimax optimal Bayesian networks |
158
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VLDB
2006
ACM
15 years 9 months ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
WIOPT
2010
IEEE
14 years 7 months ago
2010
IEEE
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
101
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ESWA
2008
14 years 9 months ago
2008
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...