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» Dynamic Time-Alignment Kernel in Support Vector Machine
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171
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COLT
2006
Springer
15 years 4 months ago
Learning Bounds for Support Vector Machines with Learned Kernels
Nathan Srebro, Shai Ben-David
CORR
2008
Springer
114views Education» more  CORR 2008»
15 years 16 days 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
89
Voted
AIR
2005
122views more  AIR 2005»
15 years 11 days 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
KDD
2006
ACM
181views Data Mining» more  KDD 2006»
16 years 26 days ago
Cryptographically private support vector machines
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
Helger Lipmaa, Sven Laur, Taneli Mielikäinen
104
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ISNN
2005
Springer
15 years 6 months ago
Scaling the Kernel Function to Improve Performance of the Support Vector Machine
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
Peter Williams, Sheng Li, Jianfeng Feng, Si Wu