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» Intelligent code completion with Bayesian networks
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 6 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
SOFTWARE
2002
13 years 5 months ago
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
Telecommunication systems are built with extensive redundancy and complexity to ensure robustness and quality of service. Such systems requires complex fault identification and man...
Roy Sterritt
KR
2004
Springer
13 years 11 months ago
GAI Networks for Utility Elicitation
This paper deals with preference representation and elicitation in the context of multiattribute utility theory under risk. Assuming the decision maker behaves according to the EU...
Christophe Gonzales, Patrice Perny
TWC
2008
105views more  TWC 2008»
13 years 5 months ago
Selection Cooperation in Multi-Source Cooperative Networks
In a cooperative network with multiple potential relays and multiple simultaneous transmissions, we present selection cooperation wherein each source pairs with a single "best...
Elzbieta Beres, Raviraj Adve
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
13 years 9 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