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Artificial Intelligence, ISSN 0004-3702, 02/2010, Volume 174, Issue 2, pp. 215 - 243
Journal Article
2013, AFSC processed report, Volume 2013-04., v, 34
Hidden Markov models (HMM) provide a simple, elegant and general structure for development of existing and new models for capture-recapture analysis. These... 
models | Hidden Markov models | capture-recapture models | analysis | Cormack-Jolly-Seber model
Book
2018, London Mathematical Society lecture note series, ISBN 9781108441988, Volume 445
Web Resource
2018, London Mathematical Society lecture note series, ISBN 9781108441988, Volume 445
Web Resource
Journal Article
2008, ISBN 0898716659, xii, 132
Book
Journal of Machine Learning Research, ISSN 1532-4435, 02/2013, Volume 14, Issue 1, pp. 673 - 701
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous... 
Bayesian nonparametrics | Sampling algorithms | Hierarchical Dirichlet Process Hidden Markov Model | Semi-Markov | Time series | time series | DIRICHLET | semi-Markov | sampling algorithms | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
International Journal of Approximate Reasoning, ISSN 0888-613X, 09/2017, Volume 88, pp. 169 - 191
In many problems involving multivariate time series, hidden Markov models (HMMs) are often employed for modeling complex behavior over time. HMMs can, however,... 
Structure learning | Bayesian networks | Model selection | Hidden Markov models | Unsupervised learning | Time series | INFERENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Markov processes | Management science | Algorithms | Data mining | Analysis
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 10/2011, Volume 7, Issue 10, pp. e1002195 - e1002195
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 11/2015, Volume 27, Issue 11, pp. 2947 - 2960
Journal Article
2017, Methods in Molecular Biology, ISBN 1493967517, Volume 1552
eBook
1990, Edinburgh information technology series, ISBN 9780748601622, Volume 7, x, 276
Book
Machine Learning, ISSN 0885-6125, 11/1997, Volume 29, Issue 2, pp. 245 - 273
Journal Article
Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, 08/2019, Volume 527, p. 121462
The hidden Markov model has been successfully applied to many fields. In this paper, we provide a novel method to estimate the order of finite state stationary... 
Hidden Markov model | The first hitting time | Order estimation | HMM | PHYSICS, MULTIDISCIPLINARY
Journal Article
2001, Series in machine perception and artificial intelligence, ISBN 9789810245641, Volume 45., 237
Book
2009, Monographs on statistics and applied probability, ISBN 9781584885733, Volume 110, xxii, 275
Book
Speech Communication, ISSN 0167-6393, 2003, Volume 41, Issue 4, pp. 603 - 623
In emotion classification of speech signals, the popular features employed are statistics of fundamental frequency, energy contour, duration of silence and... 
Hidden Markov model | Recognition of emotion | Emotional speech | Log frequency power coefficients | Human communication | ACOUSTICS | VOICE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | recognition of emotion | hidden Markov model | human communication | EXPRESSION | emotional speech | lo