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EPEW
2006
Springer
13 years 11 months ago
Precise Regression Benchmarking with Random Effects: Improving Mono Benchmark Results
Benchmarking as a method of assessing software performance is known to suffer from random fluctuations that distort the observed performance. In this paper, we focus on the fluctua...
Tomás Kalibera, Petr Tuma
EDM
2009
104views Data Mining» more  EDM 2009»
13 years 5 months ago
Visualization of Differences in Data Measuring Mathematical Skills
Identification of significant differences in sets of data is a common task of data mining. This paper describes a novel visualization technique that allows the user to interactivel...
Lukás Zoubek, Michal Burda
PAMI
1998
87views more  PAMI 1998»
13 years 7 months ago
What Size Test Set Gives Good Error Rate Estimates?
—We address the problem of determining what size test set guarantees statistically significant results in a character recognition task, as a function of the expected error rate. ...
Isabelle Guyon, John Makhoul, Richard M. Schwartz,...
BMCBI
2006
103views more  BMCBI 2006»
13 years 7 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux
SIGMOD
2007
ACM
165views Database» more  SIGMOD 2007»
14 years 8 months ago
Statistical analysis of sketch estimators
Sketching techniques can provide approximate answers to aggregate queries either for data-streaming or distributed computation. Small space summaries that have linearity propertie...
Florin Rusu, Alin Dobra