A Systematic Review of Hidden Markov Models and Their Applications

被引：117

作者：

Mor, Bhavya ^{[1
]}

Garhwal, Sunita ^{[1
]}

Kumar, Ajay ^{[1
]}

机构：

[1] Thapar Inst Engn & Technol, Comp Sci & Engn Dept, Patiala, Punjab, India

来源：

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING | 2021年 / 28卷 / 03期

关键词：

EXPLICIT STATE DURATION; VARIABLE-LENGTH MARKOV; FAULT-DETECTION; RECOGNITION; WORD; ONLINE; HMMS; CLASSIFICATION; SEGMENTATION; PREDICTION;

D O I：

10.1007/s11831-020-09422-4

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The hidden Markov models are statistical models used in many real-world applications and communities. The use of hidden Markov models has become predominant in the last decades, as evidenced by a large number of published papers. In this survey, 146 papers (101 from Journals and 45 from Conferences/Workshops) from 93 Journals and 44 Conferences/Workshops are considered. The authors evaluate the literature based on hidden Markov model variants that have been applied to various application fields. The paper represents a short but comprehensive description of research on hidden Markov model and its variants for various applications. The paper shows the significant trends in the research on hidden Markov model variants and their applications.

引用

页码：1429 / 1448

页数：20

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