Runtime parallel optimization has been suggested as a means to overcome the difficulties of parallel programming. For runtime parallel optimization to be effective, parallelism a...
David A. Penry, Daniel J. Richins, Tyler S. Harris...
We present a decidable class of first-order formulas in the general theory of stable models that can be instantiated even in the presence of function constants. The notion of an ...
The APE (Adaptive Programming Environment) project focuses on applying Machine Learning techniques to embed a software assistant into the VisualWorks Smalltalk interactive program...
Although object-oriented programming techniques have evolved into an accepted technology with recognized benefits for software development, profound investigations of qualitative a...
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...