450 search results - page 31 / 90 » On-line support vector machines and optimization strategies |
133
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JMLR
2006
15 years 14 days ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
81
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ICASSP
2010
IEEE
15 years 21 days ago
2010
IEEE
This paper presents a minimum classification error (MCE) training approach for improving the accuracy of multi-class support vector machine (SVM) classifiers. We have applied th...
100
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ANNS
2007
15 years 2 months ago
2007
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
107
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ALT
2004
Springer
15 years 9 months ago
2004
Springer
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
112
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GECCO
2010
Springer
15 years 3 months ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...