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» Discovering Interesting Subsets Using Statistical Analysis
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KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 10 months ago
Seven pitfalls to avoid when running controlled experiments on the web
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...
CSDA
2010
108views more  CSDA 2010»
13 years 10 months ago
Assessing when a sample is mostly normal
The use of trimming procedures constitutes a natural approach to robustifying statistical methods. This is the case of goodness-of-fit tests based on a distance, which can be modi...
Pedro C. Alvarez-Esteban, Eustasio del Barrio, Jua...
JOT
2006
185views more  JOT 2006»
13 years 10 months ago
Empirical Study of Object-Oriented Metrics
The increasing importance of software measurement has led to development of new software measures. Many metrics have been proposed related to various constructs like class, coupli...
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchi...
PAMI
2008
190views more  PAMI 2008»
13 years 10 months ago
Scene Classification Using a Hybrid Generative/Discriminative Approach
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
BMCBI
2007
194views more  BMCBI 2007»
13 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung