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...
Increasingly, biology researchers and medical practitioners are using computational tools to model and analyze dynamic systems across scales from the macro to the cellular to the ...
Nicholas F. Polys, Doug A. Bowman, Chris North, Re...
Performance characteristics, such as response time, throughput and scalability, are key quality attributes of distributed applications. Current practice, however, rarely applies s...
Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
Abstract. We present results from a series of experiments, where relevant factors for the use of path prepositions were examined. We were especially interested in the concepts behi...