217 search results - page 13 / 44 » Training Hard-Margin Support Vector Machines Using Greedy St... |
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
A geometric construction is presented which is shown to be an effective tool for understanding and implementing multi-category support vector classification. It is demonstrated ho...
ICIC
2005
Springer
14 years 1 months ago
2005
Springer
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...