OpenAlex | Sensitivity of hidden Markov models

Sensitivity of hidden Markov models

Work

Year: 2005

Type: article

Abstract: We derive a tight perturbation bound for hidden Markov models. Using this bound, we show that, in many cases, the distribution of a hidden Markov model is considerably more sensitive to perturbations ... more

Source: Journal of Applied Probability

Authors Alexander Y. Mitrophanov, Alexandre Lomsadze, Mark Borodovsky

Institution Georgia Institute of Technology

Cites: 37

Cited by: 27

Related to: 10

FWCI: 3.328

Citation percentile (by year/subfield): 89.33

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze