204 search results - page 6 / 41 » Entropy Numbers, Operators and Support Vector Kernels |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
ICDM
2007
IEEE
13 years 9 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
NIPS
2003
13 years 9 months ago
2003
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
CCS
2006
ACM
13 years 11 months ago
2006
ACM
Application security is typically coded in the application. In kernelSec, we are investigating mechanisms to implement application security in an operating system kernel. The mech...