We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
This article studies disruption tolerant networks (DTNs) where each node knows the probabilistic distribution of contacts with other nodes. It proposes a framework that allows one ...
In this paper we present an approach to the optimisation of interpreted Java programs using superinstructions. Unlike existing techniques, we examine the feasibility of identifying...
The aim of this paper is to provide a sound framework for addressing a difficult problem: the automatic construction of an autonomous agent's modular architecture. We briefly...
The choice of an appropriate problem-solving method, from available methods, is a crucial skill for experts in many areas. We describe a technique for the automatic selection amon...