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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
JMLR
2011
133views more  JMLR 2011»
14 years 4 months ago
Operator Norm Convergence of Spectral Clustering on Level Sets
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
Bruno Pelletier, Pierre Pudlo
BICOB
2010
Springer
14 years 7 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
ACSAC
2006
IEEE
15 years 3 months ago
Engineering Sufficiently Secure Computing
We propose an architecture of four complimentary technologies increasingly relevant to a growing number of home users and organizations: cryptography, separation kernels, formal v...
Brian Witten
87
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TITB
2008
97views more  TITB 2008»
14 years 9 months ago
A Novel Breast Tissue Density Classification Methodology
Abstract--It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastic...
Arnau Oliver, Jordi Freixenet, Robert Marti, Josep...