662 search results - page 3 / 133 » Training a Support Vector Machine in the Primal |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
ANNPR
2006
Springer
15 years 1 months ago
2006
Springer
We discuss incremental training of support vector machines in which we approximate the regions, where support vector candidates exist, by truncated hypercones. We generate the trun...
IR
2010
14 years 7 months ago
2010
RankSVM (Herbrich et al, 2000; Joachims, 2002) is a pairwise method for designing ranking models. SVMLight is the only publicly available software for RankSVM. It is slow and, due ...
AAAI
2006
14 years 11 months ago
2006
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
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IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...