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» Independent factor discriminant analysis
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179
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JMLR
2010
179views more  JMLR 2010»
14 years 10 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
132
Voted
BMCBI
2008
109views more  BMCBI 2008»
15 years 3 months ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...
IJCNN
2000
IEEE
15 years 7 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama
WWW
2007
ACM
16 years 4 months ago
Sliding window technique for the web log analysis
The results of the Web query log analysis may be significantly shifted depending on the fraction of agents (non-human clients), which are not excluded from the log. To detect and ...
Nikolai Buzikashvili
113
Voted
BMCBI
2008
143views more  BMCBI 2008»
15 years 3 months ago
catmap: Case-control And TDT Meta-Analysis Package
Background: Risk for complex disease is thought to be controlled by multiple genetic risk factors, each with small individual effects. Meta-analyses of several independent studies...
Kristin K. Nicodemus