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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 6 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
ISCI
2008
137views more  ISCI 2008»
15 years 6 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
MASS
2010
124views Communications» more  MASS 2010»
15 years 1 months ago
STEP: A spatio-temporal mobility model for humans walks
The movement of people is by-products of spatial and temporal correlations. People go to a place at a certain time with a purpose and they meet because they are in the same place a...
Seongik Hong, Kyunghan Lee, Injong Rhee
ETFA
2006
IEEE
16 years 14 days ago
Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models
New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The r...
Jürgen Greifeneder, Georg Frey
ACRI
2006
Springer
16 years 12 days ago
Improved Cell-DEVS Models for Fire Spreading Analysis
The spread of fire is a complex phenomenon that many have tried to study over the years. As one can imagine, the spread of fire depends on many different variables such as the mate...
Matthew MacLeod, Rachid Chreyh, Gabriel A. Wainer