Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
A series of papers, all under the title of Algorithmic Algebraic Model Checking (AAMC), has sought to combine techniques from algorithmic algebra, model checking and dynamical syst...
Stochastic game logic (SGL) is a new temporal logic that combines features of alternating temporal logic (to formalize the individual views and cooperation and reaction facilities...
Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a specification formalism suitable for describing both nondeterminis...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...