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» An algorithmic approach to knowledge evolution
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AIPS
2010
15 years 6 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 11 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
ALMOB
2008
92views more  ALMOB 2008»
15 years 6 months ago
Reconstructing phylogenies from noisy quartets in polynomial time with a high success probability
Background: In recent years, quartet-based phylogeny reconstruction methods have received considerable attentions in the computational biology community. Traditionally, the accura...
Gang Wu, Ming-Yang Kao, Guohui Lin, Jia-Huai You
BMCBI
2010
135views more  BMCBI 2010»
15 years 6 months ago
Efficient genome-scale phylogenetic analysis under the duplication-loss and deep coalescence cost models
Background: Genomic data provide a wealth of new information for phylogenetic analysis. Yet making use of this data requires phylogenetic methods that can efficiently analyze extr...
Mukul S. Bansal, J. Gordon Burleigh, Oliver Eulens...
CORR
2010
Springer
150views Education» more  CORR 2010»
15 years 6 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam