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COLT
1999
Springer
14 years 1 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
13 years 8 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...
PODC
2009
ACM
14 years 9 months 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...
ICML
2008
IEEE
14 years 9 months 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...
NIPS
2004
13 years 10 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...