657 search results - page 26 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
121
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
131
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ACL
2009
15 years 4 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...
133
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
84
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BMCBI
2008
15 years 2 months ago
2008
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
138
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CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...