We investigate the use of recently proposed character and word sequence kernels for the task of authorship attribution and compare their performance with two probabilistic approac...
Abstract. A free and easy to use distributed monitoring and measurement platform would be valuable in several applications: monitoring network or server infrastructures, performing...
Demetres Antoniades, Evangelos P. Markatos, Consta...
Traditional performance analysis of approximation algorithms considers overall performance, while economic fairness analysis focuses on the individual performance each user receiv...
This paper shows how lightpath-based networks can allow challenging, fine-grained parallel supercomputing applications to be run on a grid, using parallel retrograde analysis on ...
Kees Verstoep, Jason Maassen, Henri E. Bal, John W...
Abstract— Directional biases are evident in many benchmarking problems for real-valued global optimisation, as well as many of the evolutionary and allied algorithms that have be...