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JMLR
2010
179views more  JMLR 2010»
13 years 4 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
BMCBI
2008
109views more  BMCBI 2008»
13 years 10 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
14 years 2 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
14 years 10 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
BMCBI
2008
143views more  BMCBI 2008»
13 years 10 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