The Classification of Noisy Sequences Generated by Near HMMs
The method of improvement of classification properties of the Hidden Markov Models (HMM) is described in this article. The classifier of the nearest k neighbors (kNN) is used in the feature space generated by these HMM. The near models with the assumption of noisy original sequences are discussed only. The research results on simulated data for two-class classification problem are presented.