We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
We present a schema to build one way functions from a family of Boolean gates. Moreover, we relate characteristics of these Boolean gate truth tables to properties of the derived ...
—Distance sensitivity is a locality concept that is useful for designing scalable wireless sensor network applications. In this paper, we formally define distance sensitivity an...
A voxelization technique and its applications for objects with arbitrary topology are presented. It converts a free-form object from its continuous geometric representation into a ...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...