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» Modeling Dependable Systems using Hybrid Bayesian Networks
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ICPR
2006
IEEE
14 years 10 months ago
A Combined Bayesian Markovian Approach for Behaviour Recognition
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...
PVLDB
2010
147views more  PVLDB 2010»
13 years 7 months ago
HYRISE - A Main Memory Hybrid Storage Engine
In this paper, we describe a main memory hybrid database system called HYRISE, which automatically partitions tables into vertical partitions of varying widths depending on how th...
Martin Grund, Jens Krüger, Hasso Plattner, Al...
WSC
2004
13 years 10 months ago
Analysis of Supply Chains Using System Dynamics, Neural Nets, and Eigenvalues
Supply chain management is a critically significant strategy that enterprises depend on in meeting the challenges of today's highly competitive and dynamic business environme...
Luis Rabelo, Magdy Helal, Chalermmon Lertpattarapo...
MASCOTS
2004
13 years 10 months ago
Structured Stochastic Modeling of Fault-Tolerant Systems
Fault-tolerant mechanisms have been increasingly used to develop safety-critical systems in the past years. Therefore the accurate description of these mechanisms is crucial if we...
Cristiano Bertolini, Leonardo Brenner, Paulo Ferna...
BMCBI
2008
107views more  BMCBI 2008»
13 years 9 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng