657 search results - page 94 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
119
Voted
DATAMINE
2006
15 years 2 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
98
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
144
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
140
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BMCBI
2011
14 years 6 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
128
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...