1326 search results - page 29 / 266 » Approximate Tree Kernels |
ADCM
2006
13 years 8 months ago
2006
This paper investigates the approximation of multivariate functions from data via linear combinations of translates of a positive definite kernel from a reproducing kernel Hilbert...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
ICML
2005
IEEE
14 years 9 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...
COCOON
2005
Springer
14 years 2 months ago
2005
Springer
Given a set of leaf-labelled trees with identical leaf sets, the well-known MAST problem consists of finding a subtree homeomorphically included in all input trees and with the la...