Communication over interference channels poses challenges not present for the more traditional
additive white Gaussian noise (AWGN) channels. In order to approach the information
limits of an interference channel, interference mitigation techniques need to be
integrated with channel coding and…

Most knowledge representation languages are based on classes and taxonomic relationships between classes. Taxonomic hierarchies without defaults or exceptions are semantically equivalent to a collection of formulas in first order predicate calculus. Although designers of knowledge representation languages often express…

Mark Klein., "October 1999.", Includes bibliographical references (p. 15-16).

This paper reports work in progress on an experimental text editor called CREF, the Cross Referenced Editing Facility. CREF deals with chunks of text, called segments, which may have associated features such as keywords or various kinds of links to…

With the rapid increase in low-cost and sophisticated digital technology the need for techniques to authenticate digital material will become more urgent. In this paper we address the problem of authenticating digital signals assuming no explicit prior knowledge of the…

We consider the scheduling problem of minimizing the average weighted completion time of n jobs with release dates on a single machine. We first study two linear programming relaxations of the problem, one based on a time-indexed formulation, the other…

As we begin to comprehend the ways we interact with the data/information/knowledge structures which construct our individual perception of reality, we see a shift from the dyadic Cartesian method of reading our environment, to a triadic, or Systems View, which…

by Tracy S. Myers., Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1995., Includes bibliographical references (leaves 118-125).

This thesis developed and applied tools to bridge the gap between available data and action for urban air quality management, focusing on strategies to reduce particle concentrations. One of the principal thesis contributions is a Bayesian method to exploit the…

KAM is a computer program that can automatically plan, monitor, and interpret numerical experiments with Hamiltonian systems with two degrees of freedom. The program has recently helped solve an open problem in hydrodynamics. Unlike other approaches to qualitative reasoning about…