Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Set-associative caches are traditionally managed using hardwarebased lookup and replacement schemes that have high energy overheads. Ideally, the caching strategy should be tailor...
Rajiv A. Ravindran, Michael L. Chu, Scott A. Mahlk...
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
Research into design rationale in the past has focused on argumentation-based design deliberations. These approaches cannot be used to support change impact analysis effectively ...
Software synthesis from a concurrent functional specification is a key problem in the design of embedded systems. A concurrent specification is well-suited for medium-grained part...