936 search results - page 33 / 188 » Learning with Rigorous Support Vector Machines |
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
100
click to vote
BMCBI
2008
14 years 12 months ago
2008
Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although...
105
click to vote
ACL
2009
14 years 9 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...
DAC
2003
ACM
16 years 24 days ago
2003
ACM
The use of Support Vector Machines (SVMs) to represent the performance space of analog circuits is explored. In abstract terms, an analog circuit maps a set of input design parame...
104
click to vote
KDD
2005
ACM
16 years 7 days ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...