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IEEEARES
2010
IEEE
13 years 11 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 3 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 9 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam
DATE
2008
IEEE
138views Hardware» more  DATE 2008»
14 years 3 months ago
Functional Self-Testing for Bus-Based Symmetric Multiprocessors
Functional, instruction-based self-testing of microprocessors has recently emerged as an effective alternative or supplement to other testing approaches, and is progressively adop...
Andreas Apostolakis, Dimitris Gizopoulos, Mihalis ...
AEI
2005
99views more  AEI 2005»
13 years 8 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson