657 search results - page 57 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
157
Voted
ECIR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
149
Voted
GECCO
2010
Springer
15 years 8 months ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
107
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
We present a fast iterative support vector training algorithm for a large variety of different formulations. It works by incrementally changing a candidate support vector set usin...
130
Voted
ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
161
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ICAC
2006
IEEE
15 years 10 months ago
2006
IEEE
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...