434 search results - page 1 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
TNN
2010
12 years 11 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
NIPS
2007
13 years 5 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...