Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real n...
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Ste...
Escard´o, Hofmann and Streicher showed that real-number computations in the interval-domain environment are inherently parallel, in the sense that they imply the presence of weak...
We present a game-theoretic model of the polymorphic -calculus, system F, as a fibred category. Every morphism of the model defines an -expanded, -normal form ^ of system F whose...