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» Dynamic simulation for time series modeling
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BMCBI
2007
139views more  BMCBI 2007»
13 years 8 months ago
Significance analysis of microarray transcript levels in time series experiments
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
Barbara Di Camillo, Gianna Toffolo, Sreekumaran K....
ICDE
2010
IEEE
188views Database» more  ICDE 2010»
14 years 8 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
COMPLIFE
2006
Springer
14 years 10 days ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
JASSS
2002
85views more  JASSS 2002»
13 years 8 months ago
Opinion dynamics and bounded confidence: models, analysis and simulation
When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opi...
Rainer Hegselmann, Ulrich Krause
MICCAI
2007
Springer
14 years 9 months ago
Real-Time Modeling of Vascular Flow for Angiography Simulation
Interventional neuroradiology is a growing field of minimally invasive therapies that includes embolization of aneurysms and arteriovenous malformations, carotid angioplasty and ca...
Xunlei Wu, Jérémie Allard, Stephane ...