1474 search results - page 72 / 295 » Using Machine Learning to Focus Iterative Optimization |
135
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FLAIRS
2003
15 years 4 months ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
121
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
110
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CORR
2010
Springer
15 years 27 days ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
152
Voted
ICML
2006
IEEE
2006
IEEE
Automatic basis function construction for approximate dynamic programming and reinforcement learning
15 years 8 months ago
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
126
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...