We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the...
An experiment was carried out to estimate the effect of auditory alarms on the work of an plant operator in the context of a computer simulation. We designed our process simulator...
Calculi of explicit substitutions have almost always been presented using de Bruijn indices with the aim of avoiding -conversion and being as close to machines as possible. De Bru...
Proving the equivalenceof two Finite State Machines (FSMs) has many applications to synthesis, verication, testing, and diagnosis. Building their product machine is a theoretical ...
Gianpiero Cabodi, Paolo Camurati, Fulvio Corno, Pa...
We describe a simple on-line heuristic for scheduling job-shops. We assume there is a fixed set of routes for the jobs, and many jobs, say N, on each route. The heuristic uses saf...
We will give a survey on results related to scheduling problems where machines are not continuously available for processing. We will deal with single and multi machine problems an...
The Computational Plant (Cplant) project at Sandia National Laboratories is developing a large-scale, massively parallel computing resource from a cluster of commodity computing a...
Ron Brightwell, Lee Ann Fisk, David S. Greenberg, ...
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
Robert Burbidge, Matthew W. B. Trotter, Bernard F....
Tractors are the workhorses of the modern farm. By automating these machines, we can increase the productivity, improve safety, and reduce costs for many agricultural operations. ...
Anthony Stentz, Cristian Dima, Carl Wellington, He...