Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13989
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chatzis, Sotirios P. | - |
dc.contributor.author | Kosmopoulos, Dimitrios I. | - |
dc.contributor.author | Papadourakis, George M. | - |
dc.date.accessioned | 2019-05-31T10:53:43Z | - |
dc.date.available | 2019-05-31T10:53:43Z | - |
dc.date.issued | 2016-10-01 | - |
dc.identifier.citation | International Journal on Artificial Intelligence Tools, 2016, vol. 25, no. 5 | en_US |
dc.identifier.issn | 02182130 | - |
dc.description.abstract | Hidden Markov models (HMMs) are a popular approach for modeling sequential data, typically based on the assumption of a first-order Markov chain. In other words, only one-step back dependencies are modeled which is a rather unrealistic assumption in most applications. In this paper, we propose a method for postulating HMMs with approximately infinitely-long time-dependencies. Our approach considers the whole history of model states in the postulated dependencies, by making use of a recently proposed nonparametric Bayesian method for modeling label sequences with infinitely-long time dependencies, namely the sequence memoizer. We manage to derive training and inference algorithms for our model with computational costs identical to simple first-order HMMs, despite its entailed infinitely-long time-dependencies, by employing a mean-field-like approximation. The efficacy of our proposed model is experimentally demonstrated. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | International Journal on Artificial Intelligence Tools | en_US |
dc.rights | © World Scientific | en_US |
dc.subject | Markov processes | en_US |
dc.subject | Speech recognition | en_US |
dc.subject | Hidden Markov models | en_US |
dc.title | A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | University of Patras | en_US |
dc.collaboration | Hellenic Mediterranean University | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.country | Greece | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1142/S0218213016400017 | en_US |
dc.identifier.scopus | 2-s2.0-84988355391 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84988355391 | - |
dc.relation.issue | 5 | en_US |
dc.relation.volume | 25 | en_US |
cut.common.academicyear | 2016-2017 | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-4956-4013 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.journal.journalissn | 1793-6349 | - |
crisitem.journal.publisher | World Scientific | - |
Appears in Collections: | Άρθρα/Articles |
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