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» Evolutionary Algorithms for the Satisfiability Problem
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VLDB
2007
ACM
137views Database» more  VLDB 2007»
16 years 3 months ago
Improving Data Quality: Consistency and Accuracy
Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...
Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Sh...
152
Voted
BMCBI
2011
14 years 10 months ago
OrthoInspector: comprehensive orthology analysis and visual exploration
Background: The accurate determination of orthology and inparalogy relationships is essential for comparative sequence analysis, functional gene annotation and evolutionary studie...
Benjamin Linard, Julie D. Thompson, Olivier Poch, ...
128
Voted
DLOG
2004
15 years 5 months ago
A Uniform Tableaux-Based Approach to Concept Abduction and Contraction in ALN
We present algorithms based on truth-prefixed tableaux to solve both Concept Abduction and Contraction in ALN DL. We also analyze the computational complexity of the problems, sho...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
CEC
2009
IEEE
15 years 10 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter
109
Voted
ACCV
2009
Springer
15 years 10 months ago
A Smarter Particle Filter
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
Xiaoqin Zhang, Weiming Hu, Steve J. Maybank