1037 search results - page 95 / 208 » Learning of Boolean Functions Using Support Vector Machines |
COLT
2004
Springer
14 years 25 days ago
2004
Springer
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
PR
2006
13 years 9 months ago
2006
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
HAIS
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
CANDC
2006
ACM
13 years 9 months ago
2006
ACM
O-glycosylation is one of the most important, frequent and complex post-translational modifications. This modification can activate and affect protein functions. Here, we present ...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...