Alamino, Roberto C. and Caticha, Nestor (2008). Bayesian online algorithms for learning in discrete Hidden Markov Models. Discrete and Dontinuous Dynamical Systems: Series B, 9 (1), pp. 1-10.
Abstract
We propose and analyze two different Bayesian online algorithms for learning in discrete Hidden Markov Models and compare their performance with the already known Baldi-Chauvin Algorithm. Using the Kullback-Leibler divergence as a measure of generalization we draw learning curves in simplified situations for these algorithms and compare their performances.
| Divisions: | College of Engineering & Physical Sciences > Systems analytics research institute (SARI) |
|---|---|
| Additional Information: | This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Discrete and Continuous Dynamical Systems Series B following peer review. The definitive publisher-authenticated version Alamino, Roberto C. and Caticha, Nestor (2008) Bayesian online algorithms for learning in Hidden Markov Models. Discrete and Continuous Dynamical Systems Series B , 9 (1). pp. 1-10. ISSN 1531-3492 is available online at: http://aimsciences.org/journals/pdfs.jsp?paperID=2980&mode=abstract |
| Uncontrolled Keywords: | Bayesian online algorithms,discrete Hidden Markov Models,Baldi-Chauvin algorithm,Kullback-Leibler divergence,learning curves,Applied Mathematics,Discrete Mathematics and Combinatorics |
| Publication ISSN: | 1553-524X |
| Last Modified: | 04 Nov 2024 08:09 |
| Date Deposited: | 09 Feb 2010 13:56 |
| Full Text Link: | |
| Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) http://aimscien ... 0&mode=abstract (Publisher URL) |
PURE Output Type: | Article |
| Published Date: | 2008-01 |
| Authors: |
Alamino, Roberto C.
(
0000-0001-8224-2801)
Caticha, Nestor |
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