: Matchmaking between offers and requests is an essential mechanism in electronic market places. Description Logics have been proposed as a appropriate framework for representing o...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
—Several recently proposed techniques including CPR (Checkpoint Processing and Recovery) and NoSQ (No Store Queue) rely on reference counting to manage physical registers. Howeve...
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...