Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
We use linear programming to provide a sensitivity analysis of Eisenberg and Noe’s one-period model of contagion via direct bilateral links. We provide a formula for the sensiti...
How much of the literature on social simulation is about modelling for modellers? Conversely, how much of the literature is directly about the world in which we live