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PRL
2002
102views more  PRL 2002»
13 years 10 months ago
Face detection by aggregated Bayesian network classifiers
A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate...
Thang V. Pham, Marcel Worring, Arnold W. M. Smeuld...
ICONIP
2008
14 years 10 days ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
ICANN
2003
Springer
14 years 4 months ago
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier
Kaizhu Huang, Irwin King, Michael R. Lyu
TSMC
2008
172views more  TSMC 2008»
13 years 10 months ago
AdaBoost-Based Algorithm for Network Intrusion Detection
Abstract--Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security sy...
Weiming Hu, Wei Hu, Stephen J. Maybank
IJAR
2008
76views more  IJAR 2008»
13 years 11 months ago
Evidence and scenario sensitivities in naive Bayesian classifiers
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
Silja Renooij, Linda C. van der Gaag