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SDM
2009
SIAM
124views Data Mining» more  SDM 2009»
14 years 4 months ago
Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
Ali Dasdan, Paolo D'Alberto
CADE
2007
Springer
14 years 7 months ago
Formalization of Continuous Probability Distributions
Continuous probability distributions are widely used to mathematically describe random phenomena in engineering and physical sciences. In this paper, we present a methodology that ...
Osman Hasan, Sofiène Tahar
PRL
2007
98views more  PRL 2007»
13 years 7 months ago
Error probabilities for local extrema in gene expression data
Current approaches for the prediction of functional relations from gene expression data often do not have a clear methodology for extracting features and are not accompanied by a ...
Perry Groot, Christian Gilissen, Michael Egmont-Pe...
JMLR
2010
92views more  JMLR 2010»
13 years 2 months ago
Posterior distributions are computable from predictive distributions
As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...
Cameron E. Freer, Daniel M. Roy
IPPS
1998
IEEE
13 years 11 months ago
Optimal Bounds on Tail Probabilities - A Simplified Approach
Aviad Cohen, Yuri Rabinovich, Assaf Schuster, Hada...