936 search results - page 103 / 188 » Learning with Rigorous Support Vector Machines |
121
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ADMA
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a study on the combination of different classifiers for toxicity prediction. Two combination operators for the Multiple-Classifier System definition are also pr...
113
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CIDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
138
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
119
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ECML
2005
Springer
15 years 9 months ago
2005
Springer
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
125
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NIPS
2007
15 years 5 months ago
2007
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...