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...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
The importance of tuning a search algorithm for the specific features of the target search space has been known for quite some time. However, when dealing with multiobjective prob...
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
A comfort zone is a tested region of a system’s input space within which it has been observed to behave acceptably. To keep systems operating within their comfort zones, we advo...