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» An Adaptive Supersampling Method
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BMCBI
2006
97views more  BMCBI 2006»
13 years 10 months ago
Goulphar: rapid access and expertise for standard two-color microarray normalization methods
Background: Raw data normalization is a critical step in microarray data analysis because it directly affects data interpretation. Most of the normalization methods currently used...
Sophie Lemoine, Florence Combes, Nicolas Servant, ...
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
14 years 4 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
14 years 4 months ago
Adaptive Interacting Multiple Models applied on pedestrian tracking in car parks
— To address perception problems we must be able to track dynamics targets of the environment. An important issue of tracking is filtering problem in which estimates of the targ...
Julien Burlet, Olivier Aycard, Anne Spalanzani, Ch...
EPIA
2005
Springer
14 years 3 months ago
Adapting Peepholing to Regression Trees
This paper presents an adaptation of the peepholing method to regression trees. Peepholing was described as a means to overcome the major computational bottleneck of growing classi...
Luís Torgo, Joana Marques
HT
2003
ACM
14 years 3 months ago
Do adaptation rules improve web cost estimation?
Analogy-based estimation has, over the last 15 years, and particularly over the last 7 years, emerged as a promising approach with comparable accuracy to, or better than, algorith...
Emilia Mendes, Nile Mosley, Steve Counsell