This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
The Semantic Web drives towards the use of the Web for interacting with logically interconnected data. Through knowledge models such as Resource Description Framework (RDF), the S...
Tim Berners-Lee, Dan Connolly, Lalana Kagal, Yosi ...
In a peer-to-peer inference system, each peer can reason locally but can also solicit some of its acquaintances, which are peers sharing part of its vocabulary. In this paper, we ...
In energy constrained wireless sensor networks, energy conservation techniques are to be applied in order to maximize the system lifetime. We tackle the problem of increasing netw...
We investigate how to discover all common visual patterns within two sets of feature points. Common visual patterns generally share similar local features as well as similar spati...