272 search results - page 47 / 55 » Parallel Reinforcement Learning with Linear Function Approxi... |
117
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COLT
1999
Springer
15 years 3 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
91
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PODC
2009
ACM
16 years 5 days ago
2009
ACM
Imitating successful behavior is a natural and frequently applied approach to trust in when facing scenarios for which we have little or no experience upon which we can base our d...
87
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ICML
2008
IEEE
16 years 13 days ago
2008
IEEE
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
106
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NIPS
2004
15 years 1 months ago
2004
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...