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APNOMS
2008
Springer
13 years 7 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
13 years 11 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
JCIT
2010
148views more  JCIT 2010»
13 years 7 days ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
ICASSP
2011
IEEE
12 years 9 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
ACL
2003
13 years 6 months ago
Classifying Recognition Results for Spoken Dialog Systems
This paper investigates the correlation between acoustic confidence scores as returned by speech recognizers with recognition quality. We report the results of two machine learni...
Malte Gabsdil