204 search results - page 12 / 41 » Entropy Numbers, Operators and Support Vector Kernels |
JMLR
2006
13 years 7 months ago
2006
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
JMLR
2006
13 years 7 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
ICML
2006
IEEE
14 years 1 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....