Understanding self-replication from an information processing perspective is important because, amongother things, it can shed light on molecular mechanismsof biological reproduct...
James A. Reggia, Hui-Hsien Chou, Steven L. Armentr...
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true dis...
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
Researchers are currently investigating applying benefit, or utility functions for allocating resources in limited, soft real time systems [1,2,3]. While the future of real -time ...
David L. Andrews, Lonnie R. Welch, David M. Chelbe...