1584 search results - page 19 / 317 » Data selection for support vector machine classifiers |
ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
103
click to vote
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...
102
click to vote
KDD
2010
ACM
15 years 1 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
JMLR
2008
14 years 9 months ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
108
click to vote
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...