In probability theory, a Markov model is a stochastic model used to model randomly changing systems where it is assumed that future states dependâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using theâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- Sean R. Eddy
- 2001

I n t r o d u c t i o n Computational analysis is increasingly important for inferring the functions and structures of proteinsâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Qinqing Zhang, Saleem A. Kassam
- IEEE Trans. Communications
- 1999

In this paper we form a finite-state Markov channel model to represent Rayleigh fading channels. We develop and analyze aâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- Shai Fine, Yoram Singer, Naftali Tishby
- Machine Learning
- 1998

We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which weâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

A novel method to model and predict the location and orientation of alpha helices in membrane-spanning proteins is presented. Itâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- Kevin Karplus, Christian Barrett, Richard Hughey
- Bioinformatics
- 1998

MOTIVATION
A new hidden Markov model method (SAM-T98) for finding remote homologs of protein sequences is described and evaluatedâ€¦Â (More)

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Highly Cited

1996

Highly Cited

1996

Hidden Markov models (HMMâ€™s) have been used prominently and successfully in speech recognition and, more recently, in handwritingâ€¦Â (More)

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Highly Cited

1995

Highly Cited

1995

- Zoubin Ghahramani, Michael I. Jordan
- Machine Learning
- 1995

Hidden Markov models (HMMs) have proven to be one of the most widely used tools for learning probabilistic models of time seriesâ€¦Â (More)

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Highly Cited

1992

Highly Cited

1992

- Junji Yamato, Jun Ohya, Kenichiro Ishii
- CVPR
- 1992

This paper proposes a new human action recognition method baaed on a Hidden Markov Model (HMM). We do not adopt model-based topâ€¦Â (More)

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Highly Cited

1989

Highly Cited

1989

- Kai-Fu Lee, Hsiao-Wuen Hon
- IEEE Trans. Acoustics, Speech, and Signalâ€¦
- 1989

In this paper, we extend hidden Markov modeling to speaker-independent phone recognition. Using multiple codebooks of various LPCâ€¦Â (More)

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