1010 search results - page 7 / 202 » Co-EM support vector learning |
ECML
2003
Springer
14 years 27 days ago
2003
Springer
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
CIRA
2007
IEEE
14 years 2 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...