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Mottl' V V

Statistics Math-Net.Ru
Total publications: 18
Scientific articles: 18
Presentations: 2

Number of views:
This page:338
Abstract pages:2282
Full texts:1041
References:97
Doctor of technical sciences

http://www.mathnet.ru/eng/person62999
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https://mathscinet.ams.org/mathscinet/MRAuthorID/274234

Publications in Math-Net.Ru
1. A problem of pattern recognition in arrays of interrelated objects. Recognition algorithm
S. D. Dvoenko, A. V. Kopylov, V. V. Mottl'
Avtomat. i Telemekh., 2005, no. 12,  162–176
2. The problem of pattern recognition in arrays of interconnected objects. statement of the recognition problem and basic assumptions
S. D. Dvoenko, A. V. Kopylov, V. V. Mottl'
Avtomat. i Telemekh., 2004, no. 1,  143–158
3. Dynamic programming algorithms for analysis of non-stationary signals
A. O. Kostin, O. V. Krasotkina, M. V. Markov, V. V. Mottl', I. B. Muchnik
Zh. Vychisl. Mat. Mat. Fiz., 44:1 (2004),  70–86
4. Estimation of the parameters of hidden Markov models of noise-like signals with spasmodically changing probability properties. II. Estimation of the structure parameters of a model
T. O. Ivanova, V. V. Mottl', I. B. Muchnik
Avtomat. i Telemekh., 1994, no. 10,  45–67
5. Estimation of the parameters of hidden Markov models of noise-like signals with spasmodically changing probability properties. I. Structure of the model and estimation of its quantitative parameters
T. O. Ivanova, V. V. Mottl', I. B. Muchnik
Avtomat. i Telemekh., 1994, no. 9,  75–96
6. Deterministic models and methods of pattern recognition on the times axis. III. Learning algorithm
V. V. Mottl', I. B. Muchnik
Avtomat. i Telemekh., 1991, no. 5,  154–162
7. Deterministic models and methods of pattern recognition on the time axis. II. A pattern recognition algorithm
V. V. Mottl', I. B. Muchnik
Avtomat. i Telemekh., 1991, no. 4,  141–146
8. Deterministic models and methods of pattern recognition on the time axis. I. Basic models and solvability of the recognition problem
V. V. Mottl', I. B. Muchnik
Avtomat. i Telemekh., 1991, no. 3,  120–132
9. Parametric learning in recognition of a flow of random events. II. Consistency Conditions for Parameter Estimates
V. V. Mottl'
Avtomat. i Telemekh., 1989, no. 7,  157–167
10. Parametric learning in recognition of a flow of random events. I. Maximal likelihood estimates for parameters of random processes
V. V. Mottl'
Avtomat. i Telemekh., 1989, no. 6,  107–112
11. Real-time algorithms for optimal recording of events
N. V. Burobin, V. V. Mottl'
Avtomat. i Telemekh., 1987, no. 2,  119–128
12. An algorithm for recognition of a flow of random events
V. V. Mottl', I. B. Muchnik
Avtomat. i Telemekh., 1986, no. 2,  142–146
13. Recognition of a stream of random events
V. V. Mottl'
Avtomat. i Telemekh., 1985, no. 4,  92–100
14. Segmentation of structural curves based on the dynamic programming method
V. V. Mottl', I. B. Muchnik
Avtomat. i Telemekh., 1985, no. 1,  101–108
15. Algorithmical implementation of a linguistic approach to the analysis of experimental curves
V. V. Mottl', I. B. Muchnik, V. G. Yakovlev
Avtomat. i Telemekh., 1984, no. 4,  5–25
16. Optimal segmentation of experimental curves
V. V. Mottl', I. B. Muchnik, V. G. Yakovlev
Avtomat. i Telemekh., 1983, no. 8,  84–95
17. The method of partial approximation in the problem of finding informative parts of experimental curves
V. V. Mottl'
Avtomat. i Telemekh., 1977, no. 1,  97–108
18. An algorithm for detection of times when random process equation parameters change
L. I. Borodkin, V. V. Mottl'
Avtomat. i Telemekh., 1976, no. 6,  23–32

Presentations in Math-Net.Ru
1. Обучение распознаванию образов по методу опорных векторов: исходная идея, вероятностная интерпретация, алгоритмы.
V. V. Mottl'
Problems in Stochastic Analysis
December 15, 2012 11:30
2. Linear methods of dependence estimation from empirical data
V. V. Mottl', Seredin, O.
PreMoLab Seminar
October 18, 2012 17:00

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