We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
We introduce a generic extension of the popular branching-time logic CTL which refines the temporal until and release operators with formal languages. For instance, a language may ...
Roland Axelsson, Matthew Hague, Stephan Kreutzer, ...
In a distributed key distribution scheme, a set of servers help a set of users in a group to securely obtain a common key. Security means that an adversary who corrupts some server...
Abstract. I argue for the use of a specific type of grid and computational style for computational simulation that utilize emergence to produce results that would resemble physica...
We propose a biologically and physically plausible model for ants and pheromones, and show this model to be sufficiently powerful to simulate the computation of arbitrary logic cir...