loading...
Researches on Properties of Generalized Normalization Coefficient in NML Distribution
Beijing, China August 30-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.509First International Conference on Inn ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fucai Zhou, Northeastern University, P.R. China
Ping Sun, Northeastern University, P.R. China
Jinying Wang, Northeastern University, P.R. China
In coding theory the Minimum Description Length principle plays a very important role. And the most important conception in Minimum Description Length is Stochastic Complexity. In order to compute the Stochastic Complexity of some certain Normalized Maximum Likelihood distribution, it is important to know the properties of Cn, which denotes the normalization coefficient in the universal Normalized Maximum Likelihood distribution. In this paper, an integral expression of Cn in the Gama model class is proposed by the generation function. In this way we can solve some problems by this method. And we also define a Generalized Normalization Coefficient Cn,k and present some properties about it.
Citation:
Fucai Zhou, Ping Sun, Jinying Wang, "Researches on Properties of Generalized Normalization Coefficient in NML Distribution," icicic, vol. 3, pp.38-41, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.