190 search results - page 3 / 38 » PAC-Bayesian learning of linear classifiers |
KDD
2005
ACM
15 years 10 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifie...
80
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
81
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...