154 search results - page 10 / 31 » Boosted Bayesian network classifiers |
ECSQARU
2007
Springer
15 years 3 months ago
2007
Springer
DAS
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
FLAIRS
2008
14 years 11 months ago
2008
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...