657 search results - page 19 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
104
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ICANN
2001
Springer
15 years 4 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
108
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RECOMB
2002
Springer
16 years 15 hour ago
2002
Springer
One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
ML
2002
ACM
14 years 11 months ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
COLT
2005
Springer
15 years 5 months ago
2005
Springer
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
114
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ICANN
2001
Springer
15 years 4 months ago
2001
Springer
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...