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» Minimal-Cut Model Composition
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UAI
1996
15 years 6 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
ENTCS
2008
109views more  ENTCS 2008»
15 years 5 months ago
Spatial Networks of Hybrid I/O Automata for Modeling Excitable Tissue
We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), for the efficient modeling and simulation of excitable-cell tissue. Within this f...
Ezio Bartocci, Flavio Corradini, Maria Rita Di Ber...
166
Voted
AICOM
2005
97views more  AICOM 2005»
15 years 5 months ago
The Ants' Garden: Complex interactions between populations and the scalability of qualitative models
Ecological theories often explain the behaviour of communities in terms of the underlying interactions that take place between the species that are part of the community. This clos...
Bert Bredeweg, Paulo Salles
160
Voted
TCAD
1998
95views more  TCAD 1998»
15 years 5 months ago
A framework for comparing models of computation
—We give a denotational framework (a “meta model”) within which certain properties of models of computation can be compared. It describes concurrent processes in general term...
Edward A. Lee, Alberto L. Sangiovanni-Vincentelli
IEEEHPCS
2010
15 years 3 months ago
Semantic model checking security requirements for web services
Model checking is a formal verification method widely accepted in the web service world because of its capability to reason about service behaviors, at their process-level. It ha...
L. Boaro, E. Glorio, Francesco Pagliarecci, Luca S...