We define a program semantics that is preserved by dependence-based slicing algorithms. It is a natural extension, to non-terminating programs, of the semantics introduced by Wei...
Richard W. Barraclough, David Binkley, Sebastian D...
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Internet search engines display understanding or misunderstanding of user intent in and through the particular batches of results they retrieve and their perceived relevance. Yet ...
Robert J. Moore, Elizabeth F. Churchill, Raj Gopal...
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
The historical context surrounding the birth of the DARPA High Productivity Computing Systems (HPCS) program is important for understanding why federal government agencies launche...
Jack Dongarra, Robert Graybill, William Harrod, Ro...