Linear programming techniques can be used in constructing schedules but their application is not trivial. This in particular holds true if a trade-off has to be made between computation time and solution quality. However, it turns out that – when handled with care – mixed integer linear programs may provide effective tools. This is demonstrated in the successful approach to the benchmark constr...

This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best network using the standard genetic algorithm operators such as inversion, mutation and crossover. We also examine how the choice of genetic algorithm operators affects the quality of the best network found. Such netwo...

Splatting is an object-space direct volume rendering algorithm that produces images of high quality, but is computationally expensive like many other volume rendering algorithms. This paper presents a new technique that enhances the speed of splatting without trading of image quality. This new method reduces rendering time by employing a simple indexing mechanism which allows to visit and splat...

Existing security standards targets qualitative evaluation of the security level of a system against a set of predefined levels. When doing trade-off between treatment strategies, we need to supplement the qualitative evaluation with quantitative estimates of operational security. Quantitative evaluation, such as probabilistic analysis, is frequently used within the dependability domain. To est...

PROBLEM Manufacturers have three primary goals: 1) produce goods that meet customer specifications; 2) improve process efficiency in cycle times, labor cost and energy consumption; 3) increase process robustness by reducing sensitivity to small changes in process or material parameters. To meet these goals, manufacturers often employ one-variable-at-a-time investigations to construct models rel...

PrOblEM Manufacturers have three primary goals: 1) produce goods that meet customer specifications; 2) improve process efficiency in cycle times, labor cost and energy consumption; 3) increase process robustness by reducing sensitivity to small changes in process or material parameters. To meet these goals, manufacturers often employ one-variable-at-a-time investigations to construct models rel...

This paper investigates how the latency in a mobile network affect the quality of a highly demanding and sensitive application running on it. The application chosen is a bilateral teleoperation with a haptic input device, meaning a remotely controlled robot with force feedback. The latency of the two a 3Gand 4G Network were measured and simulated in application. To examine how the latency affec...

[This corrects the article on p. 615 in vol. 11, PMID: 29379424.].

OF THE DISSERTATION Supervised Machine Learning Under Test-Time Resource Constraints: A Trade-off Between Accuracy and Cost by Zhixiang (Eddie) Xu Doctor of Philosophy in Computer Science Washington University in St. Louis, 2014 Research Advisor: Professor Kilian Q. Weinberger, Chair The past decade has witnessed how the field of machine learning has established itself as a necessary component ...

Labeled training data is an essential part of any supervised machine learning framework. In practice, there is a trade-off between the quality of a label and its cost. In this paper, we consider a problem of learning to rank on a large-scale dataset with low-quality relevance labels aiming at maximizing the quality of a trained ranker on a small validation dataset with high-quality ground truth...