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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 2 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
CIKM
2010
Springer
14 years 7 months ago
Online stratified sampling: evaluating classifiers at web-scale
Deploying a classifier to large-scale systems such as the web requires careful feature design and performance evaluation. Evaluation is particularly challenging because these larg...
Paul N. Bennett, Vitor R. Carvalho
ECSQARU
2003
Springer
15 years 2 months ago
Decision Making Based on Sampled Disease Occurrence in Animal Herds
To make qualified decisions when extrapolating results from a survey sample with imprecise tests requires careful handling of uncertainty. Both the imprecise test and uncertainty ...
Michael Höhle, Erik Jørgensen
ICPR
2008
IEEE
15 years 3 months ago
Layered shape matching and registration: Stochastic sampling with hierarchical graph representation
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. Th...
Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbi...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 1 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen