Despite the many research efforts invested recently in peerto-peer search engines, none of the proposed system has reached the level of quality and efficiency of their centralized...
Pascal Felber, Toan Luu, Martin Rajman, Etienne Ri...
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
The paging algorithm Least Recently Used Second Last Request (LRU-2) was proposed for use in database disk buffering and shown experimentally to perform better than Least Recently ...
Joan Boyar, Martin R. Ehmsen, Jens S. Kohrt, Kim S...
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
We consider distributed real-time systems where concurrency control is managed using software transactional memory. For such a method we propose an algorithm to compute an upper b...
Sherif Fadel Fahmy, Binoy Ravindran, E. Douglas Je...