450 search results - page 18 / 90 » On-line support vector machines and optimization strategies |
ICML
2005
IEEE
15 years 10 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 ...
94
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ICML
2006
IEEE
15 years 3 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
SYNASC
2006
IEEE
15 years 3 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
KDD
2004
ACM
15 years 2 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
107
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IDEAL
2010
Springer
14 years 6 months ago
2010
Springer
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...