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Artificial Intelligence, ISSN 0004-3702, 02/2010, Volume 174, Issue 2, pp. 215 - 243
Journal Article
2008, ISBN 0898716659, xii, 132
Book
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
Journal Article
2009, ISBN 9781584885733, xxii, 275
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
Nature methods, ISSN 1548-7091, 09/2019, Volume 16, Issue 9, pp. 795 - 796
“Everything we see hides another thing, we always want to see what is hidden by what we see” — Rene Magritte 
Markov processes | Usage | Transition state (Chemistry) | Hidden Markov models | Analysis | Hides | Markov models
Journal Article
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
1995, Applications of mathematics, ISBN 9780387943640, Volume 29, xii, 361
Book
2001, Series in machine perception and artificial intelligence, ISBN 9789810245641, Volume 45, 237
Book
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
01/2014, Second edition., Advances in computer vision and pattern recognition, ISBN 1447163079, 275
This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate... 
Markov processes | Pattern perception | Mathematical models | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Language Translation and Linguistics | Computer Science | Image Processing and Computer Vision
eBook
2004, Advanced studies in theoretical and applied econometrics, ISBN 9781402078996, Volume 40, 179
Markov chains have increasingly become useful way of capturing stochastic nature of many economic and financial variables. Although the hidden Markov processes... 
Economics | Markov processes | Mathematical models | Public Economics | Finance | Microeconomics | Macroeconomics/Monetary Economics//Financial Economics | Macroeconomics | Econometrics | Public finance | Finance, general | International economics
eBook
2017, Methods in Molecular Biology, ISBN 1493967517, Volume 1552
eBook
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
1990, Edinburgh information technology series, ISBN 9780748601622, Volume 7, x, 276
Book
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