— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Abstract--Flash memory is well-known for its inherent asymmetry: the flash-cell charge levels are easy to increase but are hard to decrease. In a general rewriting model, the store...
Anxiao Jiang, Michael Langberg, Moshe Schwartz, Je...
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
This paper proposes several vectorial operators for processing XML twig queries, which are easy to be performed and inherently efficient for both Ancestor-Descendant (A-D) and Par...
Integrity constraints are an essential part of a modern schema definition language. They are useful for semantic specification, update consistency control, query optimization, inf...