3 search results - page 1 / 1 » Tree Decomposition for Large-Scale SVM Problems |
JMLR
2010
12 years 11 months ago
2010
To handle problems created by large data sets, we propose a method that uses a decision tree to decompose a given data space and train SVMs on the decomposed regions. Although the...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...