154 search results - page 24 / 31 » Boosted Bayesian network classifiers |
KDD
2002
ACM
16 years 1 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
117
Voted
TIT
2002
15 years 14 days ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
103
Voted
CNSM
2010
14 years 11 months ago
2010
The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
103
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate...
137
Voted
IBERAMIA
2010
Springer
14 years 11 months ago
2010
Springer
Several methods have been developed for face detection with certain success, however these tend to fail under difficult conditions such as partial occlusions and changes in orienta...