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ECSQARU
2005
Springer
15 years 12 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 12 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2004
Springer
15 years 11 months ago
On Multi-class Classification by Way of Niching
In recent literature, the niche enabling effects of crowding and the sharing algorithms have been systematically investigated in the context of Genetic Algorithms and are now estab...
Andrew R. McIntyre, Malcolm I. Heywood
ISW
2004
Springer
15 years 11 months ago
A Model for the Semantics of Attack Signatures in Misuse Detection Systems
Misuse Detection systems identify evidence of attacks by searching for patterns of known attacks (signatures). A main problem in this context is the modeling and specification of a...
Michael Meier
PATAT
2004
Springer
138views Education» more  PATAT 2004»
15 years 11 months ago
Semantic Components for Timetabling
Abstract. Automated timetabling is a research domain that has occupied many researchers over the last 50 years. Several algorithms have proven to be applicable to timetabling but t...
Nele Custers, Patrick De Causmaecker, Peter Demees...