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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… Expand
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Papers overview

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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… Expand
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2014
2014
Clustering categorical sequences is an important and difficult data mining task. Despite recent efforts, the challenge remains… Expand
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2014
2014
Variable-order Markov Model(VLMM) is a simple but effective model for event sequences modeling. However, the classic VLMM only… Expand
2012
2012
The work presented in this dissertation investigates techniques for robot Learning from Demonstration (LFD). LFD is a well… Expand
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2010
2010
We present a simple, effective generalisation of variable order Markov models to full online Bayesian estimation. The mechanism… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
Scanning files for signatures is a proven technology, but exponential growth in unique malware programs has caused an explosion… Expand
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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… Expand
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2002
2002
In this paper, we compare Probabilistic Suffix Trees (PST), recently proposed, to a specific smoothing of Markov chains and show… Expand
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Highly Cited
2002
Highly Cited
2002
The extensible mark-up language (XML) is gaining widespread use as a format for data exchange and storage on the World Wide Web… Expand
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