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» Path-oriented random testing
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117
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KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 6 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
118
Voted
BMCBI
2010
82views more  BMCBI 2010»
15 years 2 months ago
Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition
Background: Metabolic pathway is a highly regulated network consisting of many metabolic reactions involving substrates, enzymes, and products, where substrates can be transformed...
Lei Chen, Kai-Yan Feng, Yu-Dong Cai, Kuo-Chen Chou...
BMCBI
2005
98views more  BMCBI 2005»
15 years 2 months ago
The effects of normalization on the correlation structure of microarray data
Background: Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-...
Xing Qiu, Andrew I. Brooks, Lev Klebanov, Andrei Y...
ICPR
2008
IEEE
16 years 3 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ICML
2009
IEEE
16 years 3 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever