1516 search results - page 42 / 304 » On the Learnability of Vector Spaces |
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The maximization of a full-rank quadratic form over a finite alphabet is NP-hard in both a worst-case sense and an average sense. Interestingly, if the rank of the form is not a ...
ICNC
2005
Springer
14 years 2 months ago
2005
Springer
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
ICASSP
2011
IEEE
13 years 6 days ago
2011
IEEE
We propose an improved spoken term detection approach that uses support vector machines trained with lattice context consistency. The basic idea is that the same term usually have...