Hidden Semi-Markov models : theory, algorithms and applications / (Record no. 247201)
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| 001 - CONTROL NUMBER | |
| control field | ocn927103680 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190328114813.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151028t20162016ne a ob 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | N$T |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | N$T |
| Modifying agency | N$T |
| -- | YDXCP |
| -- | CDX |
| -- | OCLCF |
| -- | UMI |
| -- | OPELS |
| -- | COO |
| -- | DEBBG |
| -- | VT2 |
| -- | VGM |
| -- | NRC |
| -- | U3W |
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| -- | CEF |
| -- | OCLCQ |
| -- | AU@ |
| -- | WYU |
| -- | TKN |
| -- | OCLCQ |
| 019 ## - | |
| -- | 932322886 |
| -- | 988674515 |
| -- | 1008944558 |
| -- | 1066572101 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128027714 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0128027711 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0128027673 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128027677 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780128027677 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)927103680 |
| Canceled/invalid control number | (OCoLC)932322886 |
| -- | (OCoLC)988674515 |
| -- | (OCoLC)1008944558 |
| -- | (OCoLC)1066572101 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA274.7 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT |
| Subject category code subdivision | 003000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT |
| Subject category code subdivision | 029000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.2/33 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Yu, Shun-Zheng, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Hidden Semi-Markov models : theory, algorithms and applications / |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Shun-Zheng Yu. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | �2016 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Amsterdam, Netherlands : |
| Name of producer, publisher, distributor, manufacturer | Elsevier, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource : |
| Other physical details | illustrations. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | Computer science reviews and trends |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Online resource; title from PDF title page (EBSCO, viewed October 29, 2015). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Machine generated contents note: ch. 1 Introduction -- 1.1. Markov Renewal Process and Semi-Markov Process -- 1.2. Hidden Markov Models -- 1.3. Dynamic Bayesian Networks -- 1.4. Conditional Random Fields -- 1.5. Hidden Semi-Markov Models -- 1.6. History of Hidden Semi-Markov Models -- ch. 2 General Hidden Semi-Markov Model -- 2.1.A General Definition of HSMM -- 2.2. Forward -- Backward Algorithm for HSMM -- 2.3. Matrix Expression of the Forward -- Backward Algorithm -- 2.4. Forward-Only Algorithm for HSMM -- 2.5. Viterbi Algorithm for HSMM -- 2.6. Constrained-Path Algorithm for HSMM -- ch. 3 Parameter Estimation of General HSMM -- 3.1. EM Algorithm and Maximum-Likelihood Estimation -- 3.2. Re-estimation Algorithms of Model Parameters -- 3.3. Order Estimation of HSMM -- 3.4. Online Update of Model Parameters -- ch. 4 Implementation of HSMM Algorithms -- 4.1. Heuristic Scaling -- 4.2. Posterior Notation -- 4.3. Logarithmic Form -- 4.4. Practical Issues in Implementation -- ch. 5 Conventional HSMMs. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Note continued: 5.1. Explicit Duration HSMM -- 5.2. Variable Transition HSMM -- 5.3. Variable-Transition and Explicit-Duration Combined HSMM -- 5.4. Residual Time HSMM -- ch. 6 Various Duration Distributions -- 6.1. Exponential Family Distribution of Duration -- 6.2. Discrete Coxian Distribution of Duration -- 6.3. Duration Distributions for Viterbi HSMM Algorithms -- ch. 7 Various Observation Distributions -- 7.1. Typical Parametric Distributions of Observations -- 7.2.A Mixture of Distributions of Observations -- 7.3. Multispace Probability Distributions -- 7.4. Segmental Model -- 7.5. Event Sequence Model -- ch. 8 Variants of HSMMs -- 8.1. Switching HSMM -- 8.2. Adaptive Factor HSMM -- 8.3. Context-Dependent HSMM -- 8.4. Multichannel HSMM -- 8.5. Signal Model of HSMM -- 8.6. Infinite HSMM and HDP-HSMM -- 8.7. HSMM Versus HMM -- ch. 9 Applications of HSMMs -- 9.1. Speech Synthesis -- 9.2. Human Activity Recognition -- 9.3.Network Traffic Characterization and Anomaly Detection. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Markov processes. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Renewal theory. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MATHEMATICS |
| General subdivision | Applied. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MATHEMATICS |
| General subdivision | Probability & Statistics |
| -- | General. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Markov processes. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst01010347 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Renewal theory. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst01094620 |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic book. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Yu, Shun-Zheng. |
| Title | Hidden semi-markov models : theory, algorithms and applications. |
| Place, publisher, and date of publication | Amsterdam, [Netherlands] : Elsevier, �2016 |
| Physical description | ix, 195 pages |
| Series data for related item | Computer science reviews and trends. |
| International Standard Book Number | 9780128027677 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Computer science reviews and trends. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | ScienceDirect |
| Uniform Resource Identifier | http://www.sciencedirect.com/science/book/9780128027677 |
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