1078 search results - page 43 / 216 » Using Machine Learning to Support Debugging with Tarantula |
151
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...
122
click to vote
ICNC
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
132
click to vote
ACL
2009
15 years 8 days 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...
122
click to vote
DAC
2003
ACM
16 years 3 months 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...
105
click to vote
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...