1078 search results - page 76 / 216 » Using Machine Learning to Support Debugging with Tarantula |
133
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
136
Voted
LREC
2008
15 years 4 months ago
2008
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
128
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
110
Voted
ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
138
Voted
NIPS
2001
15 years 4 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...