We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
—In order to simulate biological processes, we use multi-agents system. However, modelling cell behavior in systems biology is complex and may be based on intracellular biochemic...
Vincent Rodin, Gabriel Querrec, Pascal Ballet, Fra...
The timing models used in current Static Timing Analysis tools use gate delays only for single input switching events. It is well known that the temporal proximity of signals arriv...
Rajeshwary Tayade, Sani R. Nassif, Jacob A. Abraha...
This paper introduces an accurate and efficient electrical analysis of logic gates modeled as Multiple Voltage Threshold Models (MVTM) loaded by the associated interconnect. MVTMs...
Peter Feldmann, Soroush Abbaspour, Debjit Sinha, G...