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NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 2 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
PAMI
2006
187views more  PAMI 2006»
15 years 2 months ago
An Experimental Study on Pedestrian Classification
Detecting people in images is key for several important application domains in computer vision. This paper presents an in-depth experimental study on pedestrian classification; mul...
Stefan Munder, Dariu M. Gavrila
ECCV
2006
Springer
16 years 4 months ago
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges. It has demonstrated great effectiveness for a variety of problems in computer visio...
Frédo Durand, Sylvain Paris
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 9 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
15 years 8 months ago
Evolutionary rule-based system for IPO underpricing prediction
Academic literature has documented for a long time the existence of important price gains in the first trading day of initial public offerings (IPOs). Most of the empirical analys...
David Quintana, Cristóbal Luque del Arco-Ca...