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» Dependence Modeling for Stochastic Simulation
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WSC
2008
15 years 6 months ago
A practitioner, a vender, and a researcher walk into a bar: Trying to explain what researchers do
Practitioners, venders, and researchers form three influential groups within the WSC community. The groups depend upon each other, yet not-enough interaction exists. Researchers, ...
Bruce W. Schmeiser
LICS
2010
IEEE
15 years 2 months ago
Abstracting the Differential Semantics of Rule-Based Models: Exact and Automated Model Reduction
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
Vincent Danos, Jérôme Feret, Walter F...
IWANN
2009
Springer
15 years 10 months ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
NIPS
2007
15 years 5 months ago
Continuous Time Particle Filtering for fMRI
We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Fu...
Lawrence Murray, Amos J. Storkey
CSDA
2006
103views more  CSDA 2006»
15 years 4 months ago
LASS: a tool for the local analysis of self-similarity
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, Geor...