848 search results - page 38 / 170 » Feature selection in a kernel space |
CDC
2009
IEEE
13 years 11 months ago
2009
IEEE
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
NIPS
2001
13 years 9 months ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
EMNLP
2008
13 years 9 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...