1732 search results - page 135 / 347 » Selection of Generative Models in Classification |
89
Voted
RSFDGRC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
69
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
We present a novel ensemble pruning method based on reordering the classifiers obtained from bagging and then selecting a subset for aggregation. Ordering the classifiers generate...
93
Voted
CIKM
2009
Springer
15 years 2 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
93
Voted
ICSE
2007
IEEE-ACM
15 years 10 months ago
2007
IEEE-ACM
We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
PTS
1993
14 years 11 months ago
1993
In the area of testing communication systems, the interfaces between systems to be tested and their testers have great impact on test generation and fault detectability. Several t...