DocumentCode
2507602
Title
Fast estimation of Hidden Markov Models via alpha-EM algorithm
Author
Matsuyama, Yasuo ; Hayashi, Ryunosuke ; Yokote, Ryota
Author_Institution
Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan
fYear
2011
fDate
28-30 June 2011
Firstpage
89
Lastpage
92
Abstract
Fast estimation algorithms of Hidden Markov Models (HMMs), or alpha-HMMs, are presented. Such novel algorithms inherit speedup properties of the alpha-EM algorithm. Since the alpha-EM algorithm includes the traditional log-EM algorithm as its special case, the alpha-HMM also includes the traditional log-HMM as its special case. This generalization appears as the utilization of the past information which is the main device of the speedup. Since the memorization of the past information requires only little increase of computational load and memory, the iteration speedup directly appears as that of CPU time. Experimental results are given.
Keywords
estimation theory; expectation-maximisation algorithm; hidden Markov models; alpha-EM algorithm; fast estimation algorithms; hidden Markov models; log-EM algorithm; log-HMM; Equations; Estimation; Hidden Markov models; Markov processes; Mathematical model; Probability density function; Signal processing algorithms; alpha-EM algorithm; alpha-HMM; past information; speedup;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location
Nice
ISSN
pending
Print_ISBN
978-1-4577-0569-4
Type
conf
DOI
10.1109/SSP.2011.5967835
Filename
5967835
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