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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| Format: | Others |
| Language: | English |
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KTH, Reglerteknik
2018
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| 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 |