Abstract. It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to find valuable models (theories). The problem is specially ...
Nuno A. Fonseca, Fernando M. A. Silva, Rui Camacho
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Tools that analyze and enhance large-scale software systems using symbolic reasoning are computationally expensive, and yet processors are cheap. We believe that enabling tools wi...
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of program inefficiency. Proposed is an approach that exploits parallel computation...
The performance of many scientific applications for distributed memory platforms can be increased by utilizing multiprocessor-task programming. To obtain the minimum parallel runt...