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» The Localization Hypothesis and Machines
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115
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LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 7 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
118
Voted
ISBI
2006
IEEE
16 years 1 months ago
Group mean differences of voxel and surface objects via nonlinear averaging
Building of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable objec...
Shun Xu, Martin Andreas Styner, Brad Davis, Sarang...
86
Voted
WWW
2008
ACM
16 years 1 months ago
Rogue access point detection using segmental TCP jitter
Rogue Access Points (RAPs) pose serious security threats to local networks. An analytic model of prior probability distribution of Segmental TCP Jitter (STJ) is deduced from the m...
Gaogang Xie, Tingting He, Guangxing Zhang
100
Voted
ICSE
2005
IEEE-ACM
16 years 26 days ago
Validation methods for calibrating software effort models
COCONUT calibrates effort estimation models using an exhaustive search over the space of calibration parameters in a COCOMO I model. This technique is much simpler than other effo...
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn...
109
Voted
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 10 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...