Robust classification of multivariate time series by imprecise hidden Markov models
Two credal classifiers for multivariate time series based on imprecise HMMs. Classification is achieved by extending the k-NN approach to interval data. Other credal approaches outperformed, compete also with dynamic time warping.
multivariate time series hidden markov models credal classification gaussian mixtures imprecise probability bhattacharyya distance