523 search results - page 26 / 105 » Incremental training of support vector machines using hypers... |
126
click to vote
JMLR
2008
15 years 1 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
138
click to vote
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
127
click to vote
ACL
2009
14 years 11 months ago
2009
This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statisti...
114
click to vote
ISSRE
2005
IEEE
15 years 7 months ago
2005
IEEE
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
146
click to vote
BMCBI
2006
15 years 2 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...