Different structures are used in peer-to-peer networks to represent their inherently distributed, self-organized and decentralized memory structure. In this paper, a simple range...
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
—Link quality estimation has been an active area of research within the wireless sensor network community. It is now well known that the estimation of reliable links requires few...
Marco Zuniga, Izabela Irzynska, Jan-Hinrich Hauer,...