Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Software transactional memory (STM) is a promising technique for controlling concurrency in modern multi-processor architectures. STM aims to be more scalable than explicit coarse...
The verification of quantitative aspects like performance and dependability by means of model checking has become an important and vivid area of research over the past decade. An ...
Stefan Blom, Boudewijn R. Haverkort, Matthias Kunt...