Fast Convergence Identification of Hidden Markov Models using Risk-Sensitive Filters

Abstract

In this paper we derive recursive risk-sensitive filters which may be used for both on-line and off-line identification of hidden Markov models (HMMs). The identification is achieved by first taking risk-sensitive conditional mean estimates of the number Show more