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Markov model

Known as: Hierarchical Markov model, Markov models 
In probability theory, a Markov model is a stochastic model used to model randomly changing systems where it is assumed that future states depend… 
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Related topics

Related topics

34 relations
Alignment-free sequence analysisAncestral graphAsymmetric Numeral SystemsAugmented transition network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Modeling mobility and psychological stress based human postural changes in wireless body area networks
2012
2012
Methodological construction of product-form stochastic Petri nets for performance evaluation
Highly Cited
2010
Highly Cited
2010
A geometric approach to improve spectrum efficiency for cognitive relay networks
Cognitive radio (CR) enables dynamic spectrum access (DSA). In CR networks (CRNs), unlicensed cognitive users (CUs) can share the… 
2007
2007
Quality of Service Analysis for Wireless User-Cooperation Networks
A wireless communication system in which multiple users cooperate to transmit information to a common destination is considered… 
Highly Cited
2006
Highly Cited
2006
Performance analysis and a proposed improvement for the IEEE 802.15.4 contention access period
IEEE 802.15.4-2003 (2003) was introduced to address the market need for connecting low-rate devices in a wireless personal area… 
2000
2000
Data fusion modeling for groundwater systems
Highly Cited
1995
Highly Cited
1995
The Codesign of Embedded Systems: A Unified Hardware/Software Representation
Current practice dictates the separation of the hardware and software development paths early in the design cycle. These paths… 
Highly Cited
1982
Highly Cited
1982
Stochastic models for predicting human reliability
1982
1982
25 Continuous speech recognition: Statistical methods
Highly Cited
1973
Highly Cited
1973
Testing for Intermittent Faults in Digital Circuits
In this paper we present a few fundamental results related to the problems of characterization and detection of intermittent… 
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