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» Normalization and Partial Evaluation
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DIS
2006
Springer
14 years 13 days ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 7 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
TASLP
2011
13 years 3 months ago
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes
Abstract—A probabilistic kernel approach to pairwise preference learning based on Gaussian processes is applied to predict preference judgments for sound quality degradation mech...
Perry Groot, Tom Heskes, Tjeerd Dijkstra, James M....
BMCBI
2005
169views more  BMCBI 2005»
13 years 8 months ago
An adaptive method for cDNA microarray normalization
Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
Yingdong Zhao, Ming-Chung Li, Richard Simon
BMCBI
2010
106views more  BMCBI 2010»
13 years 8 months ago
Selection of optimal reference genes for normalization in quantitative RT-PCR
Background: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introdu...
Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean...