The methods of constructing dynamic Bayesian networks

This study proposes a method of constructing dynamic Bayesian networks based on statistical data. It consists of two phases: building a static network structure and dynamic structure of the network, which determines the relations between two neighboring time intervals. The structure obtained is used to form the output at each time interval. Finally, we illustrate how this method can be applied to actual data

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С. 55—62, укр., Fig. 7. Tabl. 4. Refs.: 6 titles

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3. Maragoudakis M., Tselios N.K., Fakotakis N., Avouris N.M. Improving SMS usability using Bayesian Networks // Wire Communications Laboratory, Technical Report, 2005. — P. 45.
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5. Бидюк П.И., Терентьев А.Н. Построение и методы обучения байесовских сетей // Тавр. вест. информатики и математики. — Симферополь: КНЦ НАНУ, 2004. — № 2. — С. 139—153.

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