This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
A user-defined telecooperation service (UTS) provides service elements for application-specific communication and cooperation processes as well as integrated means for the service...
This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...