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» Improved learning of Bayesian networks
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NCA
2008
IEEE
13 years 8 months ago
Polynomial kernel adaptation and extensions to the SVM classifier learning
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
Ramy Saad, Saman K. Halgamuge, Jason Li
SAC
2004
ACM
14 years 1 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
UM
2005
Springer
14 years 1 months ago
Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning
Abstract. Since problem solving in group problem-based learning is a collaborative process, modeling individuals and the group is necessary if we wish to develop an intelligent tut...
Siriwan Suebnukarn, Peter Haddawy
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
13 years 11 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
ACE
2004
199views Education» more  ACE 2004»
13 years 9 months ago
VELNET (Virtual Environment for Learning Networking)
The problems of providing a real, physical specialist laboratory to teach computer networking such as, the lack of funding and physical space and the risks and threats to the netw...
Bruce Kneale, Ain Y. De Horta, Ilona Box