1118 search results - page 110 / 224 » Data Mining via Support Vector Machines |
124
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
125
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ICONIP
2007
15 years 5 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
127
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PRL
2008
15 years 3 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
150
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ICANN
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
137
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BICOB
2009
Springer
15 years 9 months ago
2009
Springer
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...