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» Modelling Business Process Performance
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BMCBI
2006
119views more  BMCBI 2006»
15 years 7 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
TSP
2011
170views more  TSP 2011»
15 years 2 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
DAC
2008
ACM
16 years 8 months ago
Characterizing chip-multiprocessor variability-tolerance
Spatially-correlated intra-die process variations result in significant core-to-core frequency variations in chip-multiprocessors. An analytical model for frequency island chip-mu...
Sebastian Herbert, Diana Marculescu
SIGCOMM
1996
ACM
15 years 11 months ago
On the Relevance of Long-Range Dependence in Network Traffic
There is much experimental evidence that network traffic processes exhibit ubiquitous properties of self-similarity and long-range dependence, i.e., of correlations over a wide ran...
Matthias Grossglauser, Jean-Chrysostome Bolot
WWW
2005
ACM
16 years 8 months ago
Finding the search engine that works for you
A search engine evaluation model that considers over seventy performance and feature parameters is presented. The design of a web-based system that allows the user to tailor the m...
Kin F. Li, Wei Yu, Shojiro Nishio, Yali Wang