994 search results - page 69 / 199 » Custom Computing Machines for the Set Covering Problem |
126
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TNN
2008
15 years 18 days ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
137
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IPPS
1998
IEEE
15 years 5 months ago
1998
IEEE
Parallel genetic algorithms (PGAs) have been developed to reduce the large execution times that are associated with serial genetic algorithms (SGAs). They have also been used to s...
117
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KDD
2005
ACM
16 years 1 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
113
Voted
CDC
2009
IEEE
15 years 5 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
129
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TNN
2010
14 years 7 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...