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» On Learning with Integral Operators
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ICNC
2005
Springer
16 years 2 days ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
JMLR
2006
131views more  JMLR 2006»
15 years 6 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...
PPSN
1998
Springer
15 years 10 months ago
Parallel Evolutionary Optimisation with Constraint Propagation
Abstract. This paper describes a parallel model for a distributed memory architecture of a non traditional evolutionary computation method, which integrates constraint propagation ...
Alvaro Ruiz-Andino, Lourdes Araujo, José J....
AIPS
1994
15 years 8 months ago
Testing Incremental Adaptation
A robot system operating in an environmentin which there is uncertainty and changeneeds to combinethe ability to react withthe ability to plan ahead. In a previous paper wepropose...
Damian M. Lyons, Antonius J. Hendriks
MMAS
2010
Springer
15 years 1 months ago
Enhancement of Electromagnetic Fields Caused by Interacting Subwavelength Cavities
This article is devoted to the asymptotic analysis of the electromagnetic fields scattered by a perfectly conducting plane containing two sub-wavelength rectangular cavities. The p...
Jean-François Babadjian, Eric Bonnetier, Fa...