LNCS 2787 The Crossover Closure and Partial Match Detection 1st Edition by Fernando Esponda, Stephanie Forrest, Paul Helman  ISBN 3540451927 9783540451921

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Product details:

ISBN 10: 3540451927

ISBN 13: 9783540451921

Author:  Fernando Esponda, Stephanie Forrest, Paul Helman  

LNCS 2787 – The Crossover Closure and Partial Match Detection 1st Edition: 

The crossover closure generation rule characterizes the generalization achieved by artificial immune systems using partial match detection. The paper reviews earlier results and extends the previously introduced notion of crossover closure to encompass additional match rules. For concreteness, the discussion focuses on r-chunks matching, giving alternative ways that detectors can be used to implement the crossover closure.

 

LNCS 2787 – The Crossover Closure and Partial Match Detection 1st Edition Table of contents:

1. Three Branches of Negative Representation of Information: A Survey
(2018) – IEEE Transactions on Emerging Topics in Computational Intelligence

2. Survey of Negative Selection Algorithms
(2013) – Tongxin Xuebao/Journal on Communications

3. The Use of Computational Intelligence in Intrusion Detection Systems: A Review (Open Access)
(2010) – Applied Soft Computing Journal

4. Foundations of r-Contiguous Matching in Negative Selection for Anomaly Detection
(2009) – Natural Computing

5. Immunological Computation: Theory and Applications (Book)
(2008)

6. Immune System Approaches to Intrusion Detection – A Review (Open Access)
(2007) – Natural Computing

7. Revisiting Negative Selection Algorithms
(2007) – Evolutionary Computation

8. Artificial Immune Systems: Survey and Applications in Ad Hoc Wireless Networks
(2006) – International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS’06)

9. Theoretical Basis of Novelty Detection in Time Series Using Negative Selection Algorithms
(2006) – Lecture Notes in Computer Science

10. How Do We Evaluate Artificial Immune Systems?
(2005) – Evolutionary Computation

 

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