By extending the system theory under the (min, +) algebra to the time-varying setting, we solve the problem of constrained traffic regulation and develop a calculus for dynamic ser...
Cheng-Shang Chang, Rene L. Cruz, Jean-Yves Le Boud...
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
Sooraj Bhat, Ashish Agarwal, Alexander Gray, Richa...
The paper studies the visibility maintenance problem (VMP) for a leader-follower pair of robots modelled as first-order dynamic systems and proposes an original solution based on t...
Fabio Morbidi, Francesco Bullo, Domenico Prattichi...
Abstract. We provide a complete system of transformation rules for semantic unification with respect to theories defined by convergent rewrite systems. We show that this standard u...
We investigate the use of a morphological neural network to improve the performance of information retrieval systems. A morphological neural network is a neural network based on l...