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: | https://learning.oreilly.com/library/view/-/9780128027714/?ar |
| 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. - Online resource; title from PDF title page (EBSCO, viewed October 29, 2015) |
| Umfang: | 1 Online-Ressource illustrations. |
| ISBN: | 9780128027714 0128027711 0128027673 9780128027677 |
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| id | ZDB-30-ORH-047407271 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:21:52Z |
| institution | BVB |
| isbn | 9780128027714 0128027711 0128027673 9780128027677 |
| language | English |
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| physical | 1 Online-Ressource illustrations. |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2016 |
| publishDateSearch | 2016 |
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| publisher | Elsevier |
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| series2 | Computer science reviews and trends |
| spelling | Yu, Shun-Zheng VerfasserIn aut Hidden Semi-Markov models theory, algorithms and applications Shun-Zheng Yu Amsterdam, Netherlands Elsevier 2016 ©2016 1 Online-Ressource illustrations. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Computer science reviews and trends Includes bibliographical references. - Online resource; title from PDF title page (EBSCO, viewed October 29, 2015) 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. Markov processes Renewal theory Processus de Markov Théorie du renouvellement MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General 9780128027677 Erscheint auch als Druck-Ausgabe 9780128027677 |
| spellingShingle | Yu, Shun-Zheng Hidden Semi-Markov models theory, algorithms and applications Markov processes Renewal theory Processus de Markov Théorie du renouvellement MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
| 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 | Markov processes Renewal theory Processus de Markov Théorie du renouvellement MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
| topic_facet | Markov processes Renewal theory Processus de Markov Théorie du renouvellement MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General |
| work_keys_str_mv | AT yushunzheng hiddensemimarkovmodelstheoryalgorithmsandapplications |