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» Training of Support Vector Machines with Mahalanobis Kernels
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ICML
2008
IEEE
15 years 10 months ago
Fast support vector machine training and classification on graphics processors
Bryan C. Catanzaro, Narayanan Sundaram, Kurt Keutz...
KDD
2006
ACM
181views Data Mining» more  KDD 2006»
15 years 9 months 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
ALT
2001
Springer
15 years 6 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
15 years 3 months ago
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines
We present and discuss several spatiotemporal kernels designed to mine real-life and simulated data in support of drought prediction. We implement and empirically validate these k...
Matthew W. Collier, Amy McGovern
ICML
2005
IEEE
15 years 10 months ago
Large scale genomic sequence SVM classifiers
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
Bernhard Schölkopf, Gunnar Rätsch, S&oum...