657 search results - page 41 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
124
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JMLR
2010
15 years 24 days ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
110
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NCA
2010
IEEE
15 years 23 days ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
117
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INFORMATICASI
2002
15 years 2 months ago
2002
Image categorization is the problem of classifying images into one or more of several possible categories or classes, which are defined in advance. Classifiers can be trained usin...
104
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ICONIP
2007
15 years 3 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...