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» Kernels for Semi-Structured Data
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ICPR
2002
IEEE
14 years 8 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 7 months ago
Support Vector Machine Classification with Indefinite Kernels
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
Ronny Luss, Alexandre d'Aspremont
AIR
2005
122views more  AIR 2005»
13 years 7 months ago
The Genetic Kernel Support Vector Machine: Description and Evaluation
The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classification of data. One problem that faces the user of an SVM is how to choose a kerne...
Tom Howley, Michael G. Madden
IJON
2007
114views more  IJON 2007»
13 years 7 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao
CCS
2007
ACM
14 years 1 months ago
Analysis of three multilevel security architectures
Various system architectures have been proposed for high assurance enforcement of multilevel security. This paper provides an analysis of the relative merits of three architectura...
Timothy E. Levin, Cynthia E. Irvine, Clark Weissma...