717 search results - page 5 / 144 » Efficient implementation of SVM for large class problems |
NIPS
2004
13 years 8 months ago
2004
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price f...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
IJBRA
2010
13 years 4 months ago
2010
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...