1037 search results - page 41 / 208 » Learning of Boolean Functions Using Support Vector Machines |
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
DATAMINE
1998
13 years 7 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
ICDAR
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper, we propose a new approach for identifying the language type of character images. We do this by classifying individual character images to determine the language bou...
JMLR
2008
13 years 7 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...