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BMCBI
2008
77views more  BMCBI 2008»
14 years 10 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
STAIRS
2008
175views Education» more  STAIRS 2008»
14 years 11 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
NPL
2002
110views more  NPL 2002»
14 years 9 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
CIBCB
2007
IEEE
15 years 4 months ago
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes
Abstract— This paper presents a parametric model to estimate the DNA-protein binding time using the DNA and protein structures and details of the binding site. To understand the ...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
ICTAI
2005
IEEE
15 years 3 months ago
Reachability Analysis for Uncertain SSPs
Stochastic Shortest Path problems (SSPs) can be efficiently dealt with by the Real-Time Dynamic Programming algorithm (RTDP). Yet, RTDP requires that a goal state is always reach...
Olivier Buffet