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BMCBI
2006
93views more  BMCBI 2006»
13 years 10 months ago
Evaluation of absolute quantitation by nonlinear regression in probe-based real-time PCR
Background: In real-time PCR data analysis, the cycle threshold (CT) method is currently the gold standard. This method is based on an assumption of equal PCR efficiency in all re...
Rasmus Goll, Trine Olsen, Guanglin Cui, Jon Florho...
CASCON
2001
115views Education» more  CASCON 2001»
13 years 11 months ago
Lightweight reasoning about program correctness
Automated verification tools vary widely in the types of properties they are able to analyze, the complexity of their algorithms, and the amount of necessary user involvement. In ...
Marsha Chechik, Wei Ding
ISCI
2008
88views more  ISCI 2008»
13 years 10 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
JMLR
2010
102views more  JMLR 2010»
13 years 4 months ago
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubram...
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
14 years 10 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...