Книги з теми "Hiden Markov model"

Westhead, David R., and M. S. Vijayabaskar, eds. Hidden Markov Models. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6753-7.

Eric, Moulines, and Rydén Tobias 1966-, eds. Inference in hidden Markov models. New York: Springer, 2005.

Cappe, Olivier. Inference in hidden Markov models. New York, NY: Springer, 2005.

Hidden Markov models for bioinformatics. Dordrecht: Kluwer Academic Publishers, 2001.

Elliott, Robert J., and Rogemar S. Mamon. Hidden Markov models in finance. New York: Springer, 2011.

Koski, Timo. Hidden Markov Models for Bioinformatics. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0612-5.

Mamon, Rogemar S., and Robert J. Elliott, eds. Hidden Markov Models in Finance. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/0-387-71163-5.

Cappé, Olivier, Eric Moulines, and Tobias Rydén. Inference in Hidden Markov Models. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/0-387-28982-8.

Mamon, Rogemar S., and Robert J. Elliott, eds. Hidden Markov Models in Finance. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-1-4899-7442-6.

Bouguila, Nizar, Wentao Fan, and Manar Amayri, eds. Hidden Markov Models and Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99142-5.

Hidden Markov models and dynamical systems. Philadelphia: Society for Industrial and Applied Mathematics, 2008.

Elliott, Robert J. Hidden Markov models: Estimation and control. New York: Springer-Verlag, 1995.

Huang, X. D. Hidden Markov models for speech recognition. Edinburgh: Edinburgh University Press, 1990.

Zucchini, Walter, Iain L. MacDonald, and Roland Langrock. Hidden Markov Models for Time Series. Second edition / Walter Zucchini, Iain L. MacDonald, and Roland Langrock. | Boca Raton : Taylor & Francis, 2016. | Series: Monographs on statistics and applied probability ; 150 | “A CRC title.”: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b20790.

Bhar, Ramaprasad. Hidden Markov models: Applications to financial economics. Boston, Mass: Kluwer Academic Publishers, 2004.

Gollery, Martin. Handbook of hidden Markov models in bioinformatics. Boca Raton: CRC Press, 2008.

Ryan, Matthew Stephen. Dynamic character recognition using Hidden Markov Models. [s.l.]: typescript, 1997.

Gollery, Martin. Handbook of hidden Markov models in bioinformatics. Boca Raton: Chapman & Hall/CRC, 2008.

Li, Jia. Image Segmentation and Compression Using Hidden Markov Models. Boston, MA: Springer US, 2000.

Li, Jia, and Robert M. Gray. Image Segmentation and Compression Using Hidden Markov Models. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4497-5.

Conner, Paul N. Hidden Markov models with improved duration and observation structures. Norwich: University of East Anglia, 1993.

Schenkel, Markus E. Handwriting recognition using neural networks and hidden Markov models. Konstanz: Hartung-Gorre, 1995.

Penny, D. Modeling the covarion model of molecular evolution by hidden Markov chains. Palmerston North, N.Z: Massey University College of Sciences, 1998.

W, Zucchini, ed. Hidden Markov and other models for discrete-valued time series. London: Chapman & Hall, 1997.

Zucchini, W. Hidden Markov models for time series: An introduction using R. Boca Raton: Chapman & Hall/CRC, 2009.

Zambartas, Michail. Introduction to hidden Markov models and their applications to classification problems. Monterey, Calif: Naval Postgraduate School, 1999.

Salfner, Felix. Modeling event-driven time series with generalized hidden semi-Markov models. Berlin: Humboldt-Universität zu Berlin, 2006.

N, Limnios, ed. Semi-Markov chains and hidden semi-Markov models toward applications: Their use in reliability and DNA analysis. New York: Springer, 2008.

Mäntylä, Vesa-Matti. Discrete hidden Markov models with application to isolated user-dependent hand gesture recognition. Espoo [Finland]: Technical Research Centre of Finland, 2001.

Tucker, Brian C. Theory and application of discrete hidden Markov models in plant community ecology and restoration. Sudbury, Ont: Laurentian University, School of Graduate Studies, 2004.

The nonlinear workbook: Chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, fuzzy logic with C++, Java and symbolic C++ programs. 6th ed. Hackensack, New Jersey: World Scientific, 2015.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. New Jersey: World Scientific, 2011.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 3rd ed. Hackensack, NJ: World Scientific, 2005.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. New Jersey: World Scientific, 2011.

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 4th ed. New Jersey: World Scientific, 2008.

Hidden Markov Models. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-0-387-84854-9.

Hidden Markov Models. Boston: Kluwer Academic Publishers, 2004. http://dx.doi.org/10.1007/b109046.

Bunke, Horst, and Terry Caelli. Hidden Markov Models. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/4648.

Hidden Semi-Markov Models. Elsevier, 2016. http://dx.doi.org/10.1016/c2014-0-02508-7.

Cappé, Olivier, Eric Moulines, and Tobias Ryden. Inference in Hidden Markov Models. Springer, 2010.

Koski, T. Hidden Markov Models for Bioinformatics. Springer, 2011.

Zucchini, Walter, and Iain L. MacDonald. Hidden Markov Models for Time Series. Chapman and Hall/CRC, 2009. http://dx.doi.org/10.1201/9781420010893.

Hoek, John van der, and Robert J. Elliott. Introduction to Hidden Semi-Markov Models. Cambridge University Press, 2018.

Hidden Markov Models Estimation And Control. Springer, 2010.

Hidden Markov Models, Theory and Applications. InTech, 2011.

Dymarski, Przemyslaw, ed. Hidden Markov Models, Theory and Applications. InTech, 2011. http://dx.doi.org/10.5772/601.

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-73173-5.

Sun, Shuying. Haplotype inference using a hidden Markov model with efficient Markov chain sampling. 2007, 2007.

Kordi, Kamran. Intelligent character recognition using hidden Markov models. 1990.

Koski, T. Hidden Markov Models of Bioinformatics (Computational Biology). Springer, 2002.