95 search results - page 12 / 19 » Ensembles of Kernel Predictors |
TNN
2010
13 years 3 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
CIARP
2007
Springer
14 years 16 days ago
2007
Springer
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...
NLE
2008
13 years 8 months ago
2008
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
HASE
2007
IEEE
14 years 2 months ago
2007
IEEE
—Modeling to predict faultproneness of software modules is an important area of research in software engineering. Most such models employ a large number ...
TR
2010
13 years 3 months ago
2010
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...