The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Background: Medium- to large-scale expression profiling using quantitative polymerase chain reaction (qPCR) assays are becoming increasingly important in genomics research. A majo...
Samuel Arvidsson, Miroslaw Kwasniewski, Diego Maur...
The organisational specification of a multi-agent system supports agents’ effectiveness in attaining their purpose, or prevent certain undesired behaviour from occurring. This r...
Huib Aldewereld, Virginia Dignum, Catholijn M. Jon...
FShell is an automated white-box test-input generator for C programs, computing test data with respect to user-specified code coverage criteria. The pillars of FShell are the decl...
Andreas Holzer, Daniel Kroening, Christian Schallh...