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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
PROMISE
2010
13 years 2 months ago
The role of the measure of functional complexity in effort estimation
Background. Currently there are several definitions of measures that should represent the size of software functional requirements. These measures have gained a quite relevant rol...
Luigi Lavazza, Gabriela Robiolo
BMCBI
2010
104views more  BMCBI 2010»
13 years 8 months ago
A novel scoring function for discriminating hyperthermophilic and mesophilic proteins with application to predicting relative th
Background: The ability to design thermostable proteins is theoretically important and practically useful. Robust and accurate algorithms, however, remain elusive. One critical pr...
Yunqi Li, C. Russell Middaugh, Jianwen Fang
ICML
2001
IEEE
14 years 8 months ago
Off-Policy Temporal Difference Learning with Function Approximation
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
Doina Precup, Richard S. Sutton, Sanjoy Dasgupta
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 2 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...