— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
This paper concerns the formal semantics of programming languages, and the specification and verification of software. We are interested in the verification of real programs, wr...
Multi-agent organizations in dynamic environments, need to have the ability to adapt to environmental changes to ensure a continuation of proper functioning. Such adaptations can b...
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
Embedded control programs are hard to analyse because their behaviour depends on how they interact with hardware devices. In particular, embedded code typically uses interrupts to...