IEEE - Institute of Electrical and Electronics Engineers, Inc. - On the likelihood function of HMMs for a long data sequence

2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Author(s): Yamazaki, K.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 September 2009
Conference Location: Grenoble, France, France
Conference Date: 1 September 2009
Page(s): 1 - 6
ISBN (CD): 978-1-4244-4948-4
ISBN (Paper): 978-1-4244-4947-7
ISSN (CD): 1551-2541
DOI: 10.1109/MLSP.2009.5306222
Regular:

Hidden Markov models (HMMs) are widely applied to the analysis of time-dependent data sequences, such as nonlinear signal processing, natural language processing, and bioinformatics. Training data... View More

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