A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
Many industrial real-time systems have evolved over a long period of time and were initially so simple that it was possible to predict consequences of adding new functionality by ...
Anders Wall, Johan Andersson, Christer Norströ...
babilistic Chemical Abstract Machine and the Expressiveness of Linda Languages Alessandra Di Pierro1 , Chris Hankin2 , and Herbert Wiklicky2 1 Dipartimento di Informatica, Universi...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...
In a previous paper we proposed Web-based language models relying on the possibility theory. These models explicitly represent the possibility of word sequences. In this paper we ...
Stanislas Oger, Vladimir Popescu, Georges Linar&eg...