111 search results - page 5 / 23 » Using the Delta Test for Variable Selection |
ECAI
2010
Springer
13 years 4 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
CSDA
2006
13 years 7 months ago
2006
The choice of the best-suited statistical distribution for modeling data is not a trivial issue. Unless a sound theoretical background exists for selecting a particular distributi...
ISSTA
2007
ACM
13 years 9 months ago
2007
ACM
As concurrent and distributive applications are becoming more common and debugging such applications is very difficult, practical tools for automatic debugging of concurrent appl...
FASE
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...