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BMCBI
2010
229views more  BMCBI 2010»
14 years 12 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 6 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 5 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 5 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 12 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