— As new versions of software are developed bugs inevitably arise either due to regression or new functionality. Challenges arise in discovering, managing, and testing the impact...
Kevin J. Hoffman, Murali Krishna Ramanathan, Patri...
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
In this work we look at combining emerging technologies in programming languages with traditional query processing techniques to provide support for efficient execution of declarat...
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...