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The Role of Early Stopping and Population Size in XCS for Intrusion Detection

Author
SHAFI, Kamran1 ; ABBASS, Hussein A1 ; WEIPING ZHU1
[1] Defence and Security Applications Research Centre Univ. of New South Wales @ ADFA, Canberra ACT 2600, Australia
Conference title
Simulated evolution and learning (6th international conference, SEAL 2006, Hefei, China, October 15-18, 2006)
Conference name
SEAL 2006 (6 ; Hefei 2006)
Source

Lecture notes in computer science. 2006 ; 1Vol, pp 50-57, 8 p ; ref : 10 ref

ISSN
0302-9743
ISBN
3-540-47331-9
Scientific domain
Computer science
Publisher
Springer, Berlin / Springer, New York
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Algorithme apprentissage Algorithme génétique Algorithme évolutionniste Apprentissage conceptuel Apprentissage renforcé Apprentissage(intelligence artificielle) Arrêt au plus tôt Classification Croyance Détecteur intrus Intelligence artificielle Règle inférence Système détection intrusion Système information Sécurité informatique Taille population
Keyword (en)
Learning algorithm Genetic algorithm Evolutionary algorithm Concept learning Reinforcement learning Learning (artificial intelligence) Early stopping Classification Belief Intruder detector Artificial intelligence Inference rule Intrusion detection systems Information system Computer security Population size
Keyword (es)
Algoritmo aprendizaje Algoritmo genético Algoritmo evoluciónista Aprendizaje conceptual Aprendizaje reforzado Parada mas temprana Clasificación Creencia Detector intruso Inteligencia artificial Regla inferencia Sistema información Seguridad informatica Tamaño población
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07C Memory and file management (including protection and security)

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
19992604

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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