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...
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 ...
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...
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...
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...