388 search results - page 9 / 78 » Transductive support vector machines for structured variable... |
124
Voted
WINE
2005
Springer
15 years 3 months ago
2005
Springer
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
83
Voted
NECO
2008
14 years 10 months ago
2008
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
OL
2007
14 years 9 months ago
2007
In this paper we construct the linear support vector machine (SVM) based on the nonlinear rescaling (NR) methodology (see [9, 11, 10] and references therein). The formulation of t...
JMLR
2008
14 years 10 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...
81
Voted
ALT
2000
Springer
15 years 7 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...