This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
Abstract— Simulation has been the dominant research methodology in wireless and sensor networking. When mobility is added, real-world experimentation is especially rare. However,...
David Johnson, Tim Stack, Russ Fish, Daniel Montra...
Secure email has struggled with signifcant obstacles to adoption, among them the low usability of encryption software and the cost and overhead of obtaining public key certificat...
We consider temporal aspects of self-replication and evolvability – in particular, the massively asynchronous parallel and distributed nature of living systems. Formal views of s...