In the Artemis project [13], design space exploration of embedded systems is provided by modeling application behavior and architectural performance constraints separately. Mappin...
While model checking suffers from the state space explosion problem, theorem proving is quite tedious and impractical for verifying complex designs. In this work, we present a veri...
We present an analysis of the benefits and drawbacks of function and object based models in system specification. Functional models should be used for functional design space expl...
An entire family of methodologies for predicting protein interactions is based on the observed fact that families of interacting proteins tend to have similar phylogenetic trees d...
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...