Abstract XML databases, providing structural querying support, are becoming more and more popular. As we know, XML data may change over time and providing an efficient support to q...
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
The ability to simulate a seaport environment, including illicit cargo and the sensors designed to detect such cargo, allows the evaluation of alternative detection methods in orde...
Allen Christiansen, Damian Johnson, Lawrence B. Ho...
Originally conceived as a "naive" baseline experiment using traditional n-gram language models as classifiers, the NCLEANER system has turned out to be a fast and lightw...
This paper presents the results of a graph-based method for performing knowledge-based Word Sense Disambiguation (WSD). The technique exploits the structural properties of the gra...