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JMLR
2006
143views more  JMLR 2006»
14 years 9 months ago
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
Régis Vert, Jean-Philippe Vert
ICML
2007
IEEE
15 years 10 months ago
Online kernel PCA with entropic matrix updates
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
Dima Kuzmin, Manfred K. Warmuth
ORDER
2010
100views more  ORDER 2010»
14 years 8 months ago
Quantum Logic in Dagger Kernel Categories
This paper investigates quantum logic from the perspective of categorical logic, and starts from minimal assumptions, namely the existence of involutions/daggers and kernels. The ...
Chris Heunen, Bart Jacobs
CVPR
2005
IEEE
15 years 11 months ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong
WWW
2009
ACM
15 years 10 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...