Hidden Markov Models and Applications (Record no. 200457630)

MARC details
000 -LEADER
fixed length control field 04358nam a22005775i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231120091155.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220519s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030991425
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-99142-5
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.7
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJF
Source bicssc
Subject category code UYS
Source bicssc
Subject category code TEC008000
Source bisacsh
Subject category code TJF
Source thema
Subject category code UYS
Source thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA274.7EBK
245 10 - TITLE STATEMENT
Title Hidden Markov Models and Applications
Medium [electronic resource] /
Statement of responsibility, etc. edited by Nizar Bouguila, Wentao Fan, Manar Amayri.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
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
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Unsupervised and Semi-Supervised Learning,
International Standard Serial Number 2522-8498
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter1. A Roadmap to Hidden Markov Models and A Review of its Application in Occupancy Estimation -- Chapter2. Bounded asymmetric Gaussian mixture-based hidden Markov models -- Chapter3. Using HMM to model neural dynamics and decode useful signals for neuroprosthetic control -- Chapter4. Fire Detection in Images with Discrete Hidden Markov Models -- Chapter5. Hidden Markov Models: Discrete Feature Selection in Activity Recognition -- Chapter6. Bayesian Inference of Hidden Markov Models using Dirichlet Mixtures -- Chapter7. Online learning of Inverted Beta-Liouville HMMs for Anomaly Detection in Crowd Scenes -- Chapter8. A Novel Continuous Hidden Markov Model for Modeling Positive Sequential Data -- Chapter9. Multivariate Beta-based Hidden Markov Models Applied to Human Activity Recognition -- Chapter10. Multivariate Beta-based Hierarchical Dirichlet Process Hidden Markov Models in Medical Applications -- Chapter11. Shifted-Scaled Dirichlet Based Hierarchical Dirichlet Process Hidden Markov Models with Variational Inference Learning.
520 ## - SUMMARY, ETC.
Summary, etc. This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents recent inference frameworks and applications that consider HMMs. The authors discuss challenging problems that exist when considering HMMs for a specific task or application, such as estimation or selection, etc. The goal of this volume is to summarize the recent advances and modern approaches related to these problems. The book also reports advances on classic but difficult problems in HMMs such as inference and feature selection and describes real-world applications of HMMs from several domains. The book pertains to researchers and graduate students, who will gain a clear view of recent developments related to HMMs and their applications. Includes new advances on finite and infinite Hidden Markov Models (HMMs) and their applications from different disciplines; Tackles recent challenges related to the deployment of HMMs in real-life applications (e.g., big data, multimodal data, etc.); Presents new applications of HMMs by considering advancements with respect to inference techniques and recent technological advancements.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Signal processing.
Topical term or geographic name entry element Computer science—Mathematics.
Topical term or geographic name entry element Mathematical statistics.
Topical term or geographic name entry element Mathematical statistics—Data processing.
Topical term or geographic name entry element Digital and Analog Signal Processing.
Topical term or geographic name entry element Probability and Statistics in Computer Science.
Topical term or geographic name entry element Statistics and Computing.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Hidden Markov models
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bouguila, Nizar.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Fan, Wentao.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Amayri, Manar.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Unsupervised and Semi-Supervised Learning,
International Standard Serial Number 2522-8498
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-99142-5">https://doi.org/10.1007/978-3-030-99142-5</a>
Materials specified Springer eBooks
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Coded location qualifier Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Date shelved Koha item type Public note
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 11/10/2023 Satın Alma / Purchase BİL   QA274.7EBK EBK03132 20/11/2023 1 20/11/2023 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.