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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
13 years 10 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
CCE
2004
13 years 5 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
BIBM
2009
IEEE
155views Bioinformatics» more  BIBM 2009»
14 years 9 days ago
Towards Reliable Isoform Quantification Using RNA-Seq Data
Background: In eukaryotes, alternative splicing often generates multiple splice variants from a single gene. Here weexplore the use of RNA sequencing (RNA-Seq) datasets to address...
Brian E. Howard, Steffen Heber
FASE
2006
Springer
13 years 9 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt
ANOR
2008
69views more  ANOR 2008»
13 years 5 months ago
Scheduling vessels and container-yard operations with conflicting objectives
Abstract We consider the problem of coordinating the operations of two supply chain partners: a foreign shipping company and a domestic port. The two partners have conflicting busi...
Endre Boros, Lei Lei, Yao Zhao, Hua Zhong