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GECCO
2009
Springer
15 years 3 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
MLCW
2005
Springer
15 years 4 months ago
An Inference Model for Semantic Entailment in Natural Language
Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that ...
Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyaka...
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
15 years 5 months ago
An extremal optimization search method for the protein folding problem: the go-model example
The protein folding problem consists of predicting the functional (native) structure of the protein given its linear sequence of amino acids. Despite extensive progress made in un...
Alena Shmygelska
CPAIOR
2008
Springer
15 years 28 days ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
Daniel H. Leventhal, Meinolf Sellmann
ITICSE
2005
ACM
15 years 4 months ago
Novice Java programmers' conceptions of "object" and "class", and variation theory
Problems with understanding concepts, so called misconceptions, have been investigated and reported in a number of studies regarding object-oriented programming [4], [3]. In a fi...
Anna Eckerdal, Michael Thuné