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CSSC
2010
79views more  CSSC 2010»
13 years 9 months ago
Are Bayesian Inferences Weak for Wasserman's Example?
: 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...
Longhai Li
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 9 months ago
Bayesian Compressive Sensing via Belief Propagation
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
CCE
2006
13 years 9 months ago
Real-time monitoring of an industrial batch process
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, ...
CORR
2006
Springer
108views Education» more  CORR 2006»
13 years 9 months ago
Scheduling and Codeword Length Optimization in Time Varying Wireless Networks
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. ...
CSL
2006
Springer
13 years 9 months ago
Unsupervised grammar induction using history based approach
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...
Heshaam Feili, Gholamreza Ghassem-Sani