We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
Simulation results are often needed within a short time frame, while the development of simulation models can be time consuming. We develop a methodology to facilitate rapid gener...
Gabriel A. Burnett, Deborah J. Medeiros, Daniel A....
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...
Event processing systems have wide applications ranging from managing events from RFID readers to monitoring RSS feeds. Consequently, there exists much work on them in the literat...
Walker M. White, Mirek Riedewald, Johannes Gehrke,...
This paper presents a new tool for the automatic generation of highly parallelized Finite Impulse Response (FIR) filters. In this approach we follow our PARO design methodology. P...
Holger Ruckdeschel, Hritam Dutta, Frank Hannig, J&...