The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Excellent production design and planning depends on accurate simulation of a high quality layout. A good layout project will always begin with an analysis of the production volume...
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Three years ago the Stanford Linear Accelerator Center (SLAC) decided to embrace netnews as a site-wide, multi-platform communications tool for the laboratory’s diverse user com...
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...