DocumentCode :
2519983
Title :
Computation of Csiszár’s mutual Information of order α
Author :
Karakos, Damianos ; Khudanpur, Sanjeev ; Priebe, Carey E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Center for Language & Speech Process., Baltimore, MD
fYear :
2008
fDate :
6-11 July 2008
Firstpage :
2106
Lastpage :
2110
Abstract :
Csiszar introduced the mutual information of order alpha in [1] as a parameterized version of Shannon´s mutual information. It involves a minimization over the probability space, and it cannot be computed in closed form. An alternating minimization algorithm for its computation is presented in this paper, along with a proof of its convergence. Furthermore, it is proved that the algorithm is an instance of the Csiszar-Tusnady iterative minimization procedure [2].
Keywords :
minimisation; probability; Shannon mutual information; iterative minimization procedure; minimization algorithm; mutual information; probability space; Clustering algorithms; Distributed computing; Iterative algorithms; Mathematics; Minimization methods; Mutual information; Natural languages; Random variables; Speech processing; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
Type :
conf
DOI :
10.1109/ISIT.2008.4595361
Filename :
4595361
Link To Document :
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