In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...
The search problem, ACCESSIBILITY, asks whether a finite sequence of events can be found such that, starting with a specific initial event, a particular state can be reached. This...
Design of programmable processors and embedded applications requires instruction-set simulators for early exploration and validation of candidate architectures. Interpretive simul...