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BMCBI
2010
229views more  BMCBI 2010»
14 years 9 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
CONCUR
2009
Springer
15 years 4 months ago
Encoding Asynchronous Interactions Using Open Petri Nets
Abstract. We present an encoding for (bound) processes of the asynchronous CCS with replication into open Petri nets: ordinary Petri nets equipped with a distinguished set of open ...
Paolo Baldan, Filippo Bonchi, Fabio Gadducci
DSRT
2005
IEEE
15 years 3 months ago
Modeling Real-Time Distributed Simulation Message Flow in an Open Network
Understanding the characteristics of information flow in large scale real-time distributed virtual simulations (RT-DVS) is important for the development of network services that a...
Dennis M. Moen, J. Mark Pullen
EGC
2005
Springer
15 years 3 months ago
OpenMolGRID: Using Automated Workflows in GRID Computing Environment
Quantitative Structure Activity/Property Relationship (QSAR/QSPR) model development is a complex and time-consuming procedure involving data gathering and preparation. It plays an ...
Sulev Sild, Uko Maran, Mathilde Romberg, Bernd Sch...
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
14 years 9 months ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead