The role of early stopping and population size in XCS for intrusion detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4247 LNCS, Issue , 2006, Pages 50-57

  Shafi, Kamran ^a   Abbass, Hussein A ^a   Zhu, Weiping ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SYSTEMS; EVOLUTIONARY ALGORITHMS; FAULT TOLERANT COMPUTER SYSTEMS; GENETIC ALGORITHMS; OBSTACLE DETECTORS;

EARLY STOPPING; INTRUSION DETECTION; REINFORCEMENT LEARNING TECHNIQUES; XCS;

LEARNING SYSTEMS;

EID: 33751353738     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11903697_7     Document Type: Conference Paper

References (10)

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9. K. Shafi, H. Abbass, and W. Zhu. The role of early stopping and population size in XCS for intrusion detection. Technical Report TR-ALAR-200604006, Defence and Security Applications Research Centre, University of New South Wales @ ADFA, Canberra, Australia, 2006.
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