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108
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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 22 days ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
ACL
2009
14 years 9 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
ICDE
2011
IEEE
245views Database» more  ICDE 2011»
14 years 3 months ago
Discovering popular routes from trajectories
—The booming industry of location-based services has accumulated a huge collection of users’ location trajectories of driving, cycling, hiking, etc. In this work, we investigat...
Zaiben Chen, Heng Tao Shen, Xiaofang Zhou
95
Voted
ATAL
2007
Springer
15 years 5 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
103
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EMSOFT
2009
Springer
15 years 3 months ago
Modular static scheduling of synchronous data-flow networks: an efficient symbolic representation
This paper addresses the question of producing modular sequential imperative code from synchronous data-flow networks. Precisely, given a system with several input and output flow...
Marc Pouzet, Pascal Raymond