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» Evolving by Maximizing the Number of Rules: Complexity Study
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IJCNN
2008
IEEE
15 years 4 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 1 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
KDD
2007
ACM
249views Data Mining» more  KDD 2007»
15 years 10 months ago
The minimum consistent subset cover problem and its applications in data mining
In this paper, we introduce and study the Minimum Consistent Subset Cover (MCSC) problem. Given a finite ground set X and a constraint t, find the minimum number of consistent sub...
Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Sch...
APIN
2006
168views more  APIN 2006»
14 years 9 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
SAGT
2010
Springer
191views Game Theory» more  SAGT 2010»
14 years 8 months ago
Complexity of Safe Strategic Voting
We investigate the computational aspects of safe manipulation, a new model of coalitional manipulation that was recently put forward by Slinko and White [11]. In this model, a pot...
Noam Hazon, Edith Elkind