Pattern Recognition Multivariate Heterogeneous Time Series Classification Deciding Functions Logic and Probabilistic Models Probability and Statistics Markov Processes
Institute of Information Theories and Applications FOI ITHEA
The method of logic and probabilistic models constructing for multivariate heterogeneous time series is
offered. There are some important properties of these models, e.g. universality. In this paper also discussed the
logic and probabilistic models distinctive features in comparison with hidden Markov processes. The early
proposed time series forecasting algorithm is tested on applied task.