Hidden Markov models : Identification, control and inverse filtering

Hidden Markov models : Identification, control and inverse filtering

The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. In an...

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Bibliographic Details
Main Author: Mattila, Robert
Format: Others
Language:English
Published: KTH, Reglerteknik 2018
Subjects:
hidden markov models
system identification
method of moments
inverse filtering
abdominal aortic aneurysm
medical
markov decision process
structure
Control Engineering
Reglerteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223683
http://nbn-resolving.de/urn:isbn:978-91-7729-701-7

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223683
http://nbn-resolving.de/urn:isbn:978-91-7729-701-7

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