: An example was given in the textbook All of Statistics (Wasserman, 2004, pages 186-188) for arguing that, in the problems with a great many parameters Bayesian inferences are wea...
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
This paper describes the development of a real-time monitoring system for a batch process operated by Aroma and Fine Chemicals Limited. The process shares many similarities with o...
Ognjen Marjanovic, Barry Lennox, David J. Sandoz, ...
Abstract-- In this paper, a downlink scenario in which a singleantenna base station communicates with K single antenna users, over a time-correlated fading channel, is considered. ...
Mehdi Ansari Sadrabadi, Alireza Bayesteh, Amir K. ...
Grammar induction, also known as grammar inference, is one of the most important research areas in the domain of natural language processing. Availability of large corpora has enc...