Hidden Semi-Markov models: theory, algorithms and applications
Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation d...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam, Netherlands
Elsevier
[2016]
|
| Schriftenreihe: | Computer science reviews and trends
|
| Schlagwörter: | |
| Links: | http://www.sciencedirect.com/science/book/9780128027677 http://www.sciencedirect.com/science/book/9780128027677 |
| Zusammenfassung: | Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms. Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the explicit duration, variable transition, and residential time of HSMMs), inference and estimation algorithms, implementation methods and application instances. Learn new developments and state-of-the-art emerging topics as they relate to HSMMs, presented with examples drawn from medicine, engineering and computer science |
| Beschreibung: | Includes bibliographical references |
| Umfang: | 1 online resource illustrations |
| ISBN: | 9780128027714 0128027711 0128027673 9780128027677 |
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Datensatz im Suchindex
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| author | Yu, Shun-Zheng |
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| author_role | aut |
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| author_variant | s z y szy |
| building | Verbundindex |
| bvnumber | BV046126956 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2/33 |
| dewey-search | 519.2/33 |
| dewey-sort | 3519.2 233 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV046126956 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:43:46Z |
| institution | BVB |
| isbn | 9780128027714 0128027711 0128027673 9780128027677 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507410 |
| oclc_num | 927103680 |
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| physical | 1 online resource illustrations |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2016 |
| publishDateSearch | 2016 |
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| publisher | Elsevier |
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| series2 | Computer science reviews and trends |
| spelling | Yu, Shun-Zheng Verfasser aut Hidden Semi-Markov models theory, algorithms and applications Shun-Zheng Yu Amsterdam, Netherlands Elsevier [2016] © 2016 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Computer science reviews and trends Includes bibliographical references Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms. Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the explicit duration, variable transition, and residential time of HSMMs), inference and estimation algorithms, implementation methods and application instances. Learn new developments and state-of-the-art emerging topics as they relate to HSMMs, presented with examples drawn from medicine, engineering and computer science MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Markov processes fast Renewal theory fast Markov processes Renewal theory Erscheint auch als Druck-Ausgabe 9780128027677 http://www.sciencedirect.com/science/book/9780128027677 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Yu, Shun-Zheng Hidden Semi-Markov models theory, algorithms and applications MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Markov processes fast Renewal theory fast Markov processes Renewal theory |
| title | Hidden Semi-Markov models theory, algorithms and applications |
| title_auth | Hidden Semi-Markov models theory, algorithms and applications |
| title_exact_search | Hidden Semi-Markov models theory, algorithms and applications |
| title_full | Hidden Semi-Markov models theory, algorithms and applications Shun-Zheng Yu |
| title_fullStr | Hidden Semi-Markov models theory, algorithms and applications Shun-Zheng Yu |
| title_full_unstemmed | Hidden Semi-Markov models theory, algorithms and applications Shun-Zheng Yu |
| title_short | Hidden Semi-Markov models |
| title_sort | hidden semi markov models theory algorithms and applications |
| title_sub | theory, algorithms and applications |
| topic | MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Markov processes fast Renewal theory fast Markov processes Renewal theory |
| topic_facet | MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Markov processes Renewal theory |
| url | http://www.sciencedirect.com/science/book/9780128027677 |
| work_keys_str_mv | AT yushunzheng hiddensemimarkovmodelstheoryalgorithmsandapplications |