We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within...
The primary objective of this paper was to examine the extent to which Gutman’s Means-End Chain Model can be used to describe the influences given to the choice of characteristi...
—In this paper, we present a distributed algorithm to dynamically allocate the available resources of a service-oriented network to delay sensitive network services. We use a uti...
Michael G. Kallitsis, Robert D. Callaway, Michael ...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
—Routing protocols for disruption-tolerant networks (DTNs) use a variety of mechanisms, including discovering the meeting probabilities among nodes, packet replication, and netwo...
Aruna Balasubramanian, Brian Neil Levine, Arun Ven...