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» Feature Subset Selection Using a Genetic Algorithm
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CADE
2007
Springer
15 years 8 months ago
Semantic Selection of Premisses for Automated Theorem Proving
We develop and implement a novel algorithm for discovering the optimal sets of premisses for proving and disproving conjectures in first-order logic. The algorithm uses interpret...
Petr Pudlak
145
Voted
EIT
2008
IEEE
15 years 9 months ago
Defending selective forwarding attacks in WMNs
—Wireless Mesh Networks (WMNs) have emerged recently as a promising technology for next-generation wireless networking to provide wide variety of applications that cannot be supp...
Devu Manikantan Shila, Tricha Anjali
ICPR
2008
IEEE
15 years 9 months ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 8 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
125
Voted
CVPR
2008
IEEE
16 years 4 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo