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Dolda Markovmodeller
Örebro University, School of Science and Technology.
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Hidden Markov Models (English)
Abstract [sv]

Denna uppsats bygger på de tre klassiska problemen för en dold Markovmodell. Alla tre problemen kommer att matematiskt beskrivas på ett fullständigt sätt. Bland annat kommer problemet med hur man tränar en modell alltså lösas analytiskt med Lagrange multiplikator samt motivera varför Expectation-Maximization fungerar. En väsentlig del kommer också vara att introducera beräkningseffektiva algoritmer för att göra det möjligt att lösa dessa problem.

Place, publisher, year, edition, pages
2018. , p. 44
Keywords [sv]
Markovkedja, Viterbialgoritmen, Lagrangemultiplikator, Expectation-Maximization
National Category
Mathematics
Identifiers
URN: urn:nbn:se:oru:diva-67484OAI: oai:DiVA.org:oru-67484DiVA, id: diva2:1223398
Subject / course
Mathematics
Supervisors
Examiners
Available from: 2018-06-25 Created: 2018-06-25 Last updated: 2018-06-25Bibliographically approved

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abeb0230a9782023d1776861f574bce80ecd25847424564bbc9b703117d3eb8ef414ba3a4854de16df99926fd489604517bdc51bf4743635f7e98c11a61dc2f2
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