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» Implementation of the MLP Kernel
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KDD
2006
ACM
181views Data Mining» more  KDD 2006»
14 years 10 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
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
14 years 4 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
JMLR
2006
156views more  JMLR 2006»
13 years 9 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
USENIX
1996
13 years 11 months ago
A Comparison of OS Extension Technologies
The current trend in operating systems research is to allow applications to dynamically extend the kernel to improve application performance or extend functionality, but the most ...
Christopher Small, Margo I. Seltzer
JVM
2004
106views Education» more  JVM 2004»
13 years 11 months ago
Kernel Plugins: When a VM Is Too Much
This paper presents kernel plugins, a framework for dynamic kernel specialization inspired by ideas borrowed from virtualization research. Plugins can be created and updated inexp...
Ivan B. Ganev, Greg Eisenhauer, Karsten Schwan