Skip to search formSkip to main contentSkip to account menu

Markov chain

Known as: Discrete time Markov chain, Discrete-time Markov process, Markoff Chain 
In probability theory and statistics, a Markov chain or Markoff chain, named after the Russian mathematician Andrey Markov, is a stochastic process… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
This paper aims to design and implement English digits speech recognition system using Matlab (GUI). This work was based on the… 
Highly Cited
2007
Highly Cited
2007
In this paper we compare three frameworks for discriminative training of continuous-density hidden Markov models (CD-HMMs… 
Highly Cited
2001
Highly Cited
2001
Hidden Markov trees in the wavelet domain are capable of accurately modeling the statistical behavior of real world signals by… 
Highly Cited
1998
Highly Cited
1998
For pt.I see ibid., p.1431-45 (1998). The authors present Gibbs-Markov random field (GMRF) models as a powerful and robust… 
Highly Cited
1992
Highly Cited
1992
A method for left ventricular contour determination in digital angiographic images is presented. The problem is formulated in a… 
Highly Cited
1990
Highly Cited
1990
Highly Cited
1989
Highly Cited
1989
A new model is developed for prediction and analysis of sensor information recorded during robotic performance of tasks by… 
Highly Cited
1988
Highly Cited
1988
A formula for the go-back-N ARQ (automatic repeat request) scheme applicable to Markov error patterns is derived. It is a… 
Highly Cited
1987
Highly Cited
1987
This paper proposes a new way of using vector quantization for improving recognition performance for a 60,000 word vocabulary… 
Review
1983
Review
1983
"Optimal Consumption and Portfolio Strategies in a Continuous-Time Model with Summary-Dependent Preferences".- "Application of…