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CVPR
2010
IEEE
16 years 3 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...
CEC
2009
IEEE
16 years 1 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
EUROGP
2009
Springer
149views Optimization» more  EUROGP 2009»
16 years 1 months ago
Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
José Luis Montaña, César Luis...
ICPPW
2007
IEEE
16 years 1 months ago
A Quality-Driven Algorithm for Resource Scheduling Based on Market Model on Grid
Several challenges about computational grid exist in integrating, coordinating and managing of resources and scheduling of applications, due to distributed resources at various le...
Lei Tang, Zhiyi Yang, Zhiwen Yu, Yunlan Wang
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 29 days ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein