File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Higher-order hidden markov models with applications to DNA sequences

TitleHigher-order hidden markov models with applications to DNA sequences
Authors
Issue Date2004
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2004, v. 2690, p. 535-539 How to Cite?
AbstractHidden Markov models (HMMs) have been applied to many real-world applications. Very often HMMs only deal with the first order transition probability distribution among the hidden states. In this paper we develop higher-order HMMs. We study the evaluation of the probability of a sequence of observations based on higher-order HMMs and determination of a best sequence of model states. © Springer-Verlag 2003.
Persistent Identifierhttp://hdl.handle.net/10722/123597
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorChing, WKen_HK
dc.contributor.authorFung, ESen_HK
dc.contributor.authorNg, MKen_HK
dc.date.accessioned2010-09-26T12:15:10Z-
dc.date.available2010-09-26T12:15:10Z-
dc.date.issued2004en_HK
dc.identifier.citationLecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2004, v. 2690, p. 535-539en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/123597-
dc.description.abstractHidden Markov models (HMMs) have been applied to many real-world applications. Very often HMMs only deal with the first order transition probability distribution among the hidden states. In this paper we develop higher-order HMMs. We study the evaluation of the probability of a sequence of observations based on higher-order HMMs and determination of a best sequence of model states. © Springer-Verlag 2003.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.titleHigher-order hidden markov models with applications to DNA sequencesen_HK
dc.typeArticleen_HK
dc.identifier.emailChing, WK:wching@hku.hken_HK
dc.identifier.authorityChing, WK=rp00679en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-540-45080-1_73-
dc.identifier.scopuseid_2-s2.0-35048898011en_HK
dc.identifier.hkuros88727en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-35048898011&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2690en_HK
dc.identifier.spage535en_HK
dc.identifier.epage539en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridChing, WK=13310265500en_HK
dc.identifier.scopusauthoridFung, ES=7005440799en_HK
dc.identifier.scopusauthoridNg, MK=7202076432en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats