1419 search results - page 262 / 284 » Approximation Methods for Supervised Learning |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
ML
2007
ACM
13 years 8 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
COLT
2010
Springer
13 years 6 months ago
2010
Springer
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...