1474 search results - page 20 / 295 » Using Machine Learning to Focus Iterative Optimization |
185
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PARLE
1994
15 years 5 months ago
1994
Sparse matrix-vector multiplication forms the heart of iterative linear solvers used widely in scientific computations (e.g., finite element methods). In such solvers, the matrix-v...
148
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UAI
2004
15 years 3 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
130
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Publication
Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervis...
134
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ML
1998
ACM
15 years 1 months ago
1998
ACM
Game playing has been a popular problem area for research in artificial intelligence and machine learning for many years. In almost every study of game playing and machine learnin...
111
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...