2712 search results - page 128 / 543 » On learning algorithm selection for classification |
149
Voted
KSEM
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
99
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
91
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
128
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ALT
2004
Springer
15 years 11 months ago
2004
Springer
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
109
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ICML
1999
IEEE
15 years 6 months ago
1999
IEEE
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...