Variable-order Markov model

Known as: Variable order Markov model, Variable order Markov models, Variable-order Markov models 
In stochastic processes, Variable-order Markov (VOM) models are an important class of models that extend the well known Markov chain models. In… (More)
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Topic mentions per year

Topic mentions per year

1989-2016
0519892016

Papers overview

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2015
2015
More and more researches focus on wireless service prediction problems with the rapid development of wireless network technology… (More)
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2014
2014
Due to the booming industry of location-based services, the analysis of human location histories is increasingly important. Next… (More)
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2014
2014
Clustering categorical sequences is an important and difficult data mining task. Despite recent efforts, the challenge remains… (More)
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2013
2013
Location management is a critical issue in personal communication service (PCS) networks, tracking the location of user equipment… (More)
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2011
2011
The concept of CR enables the unlicensed users to share the spectrum with licensed users, on the condition that the licensed… (More)
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Review
2010
Review
2010
We present a simple, effective generalisation of variable order Markov models to full online Bayesian estimation. The mechanism… (More)
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2009
2009
The recognition of the goal a user is pursing when interacting with a software application is a crucial task for an interface… (More)
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2006
2006
MOTIVATION Analyses of genomic signatures are gaining attention as they allow studies of species-specific relationships without… (More)
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2006
2006
Variable order Markov models and variable order Bayesian trees have been proposed for the recognition of transcription factor… (More)
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Highly Cited
2004
Highly Cited
2004
This paper is concerned with algorithms for prediction of discrete sequences over a finite alphabet, using variable order Markov… (More)
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