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» A Minimax Method for Learning Functional Networks
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NPL
2000
60views more  NPL 2000»
13 years 4 months ago
A Minimax Method for Learning Functional Networks
Enrique Castillo, José Manuel Gutiér...
IJAR
2010
130views more  IJAR 2010»
13 years 3 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
SIAMJO
2008
104views more  SIAMJO 2008»
13 years 4 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
AI
2002
Springer
13 years 4 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro
ICASSP
2010
IEEE
13 years 5 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar