177 search results - page 19 / 36 » Kernel Logistic Regression and the Import Vector Machine |
ICML
2009
IEEE
16 years 15 days ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
ISBI
2008
IEEE
16 years 12 days ago
2008
IEEE
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
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CSB
2005
IEEE
15 years 5 months ago
2005
IEEE
Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typic...
PR
2007
14 years 11 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...