1037 search results - page 43 / 208 » Learning of Boolean Functions Using Support Vector Machines |
ISCI
2008
13 years 7 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
ML
2002
ACM
13 years 7 months ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
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...
BMCBI
2008
13 years 7 months ago
2008
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...