1648 search results - page 177 / 330 » Training Data Selection for Support Vector Machines |
JMLR
2006
13 years 9 months ago
2006
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
ECML
2004
Springer
14 years 2 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
IJON
2007
13 years 9 months ago
2007
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Recently, there is a growing interest in automatic recognition of human motion for applications, such as humanoid robots, human activity monitoring, and surveillance. In this pape...
CSB
2005
IEEE
14 years 2 months ago
2005
IEEE
A methodology has been implemented for analyzing microarray and NMR spectral data obtained from the same set of toxic-exposure dose-response experiments. The NMR spectra additiona...