545 search results - page 39 / 109 » Support Vector Regression Using Mahalanobis Kernels |
122
Voted
JCB
2000
15 years 2 months ago
2000
A new method for detecting remote protein homologies is introduced and shown to perform well in classifying protein domains by SCOP superfamily. The method is a variant of support...
118
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DAGM
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
106
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ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
106
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NIPS
2007
15 years 3 months ago
2007
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
120
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IWANN
2009
Springer
15 years 9 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...