This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
We consider a regression problem where target values are given as intervals, and propose a statistical approach to it. Although it is hard to solve the optimization problem direct...
A proposal for a memory design is given that is suitable for solving constrained dynamic optimization problems by an evolutionary m. Based on ideas from abstract memory, two scheme...
This paper presents an approach to reduce interconnect cost by insertion of identity operations in a CDFG. Other than previous approaches, it is based on systematic pattern analys...
This study1 explores the applicability of fully automatic parallelizing techniques for parallel computers. In this study, we capitalize on a variety of traditional compiling techn...