The development of a discrete-event simulation tool, called GMSim, based on the generalized semi-Markov process (GSMP) formalism is described. The GSMP representation comprises bo...
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
The growing presence of household robots in inhabited environments arises the need for new robot task planning techniques. These techniques should take into consideration not only...
Marcello Cirillo, Lars Karlsson, Alessandro Saffio...
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Abstract The problem of portfolio risk estimation in volatile markets requires employing fat-tailed models for financial instrument returns combined with copula functions to captur...
Stoyan V. Stoyanov, Borjana Racheva-Iotova, Svetlo...