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…

Papers overview

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2018

Event management in sensor networks is a multidisciplinary field involving several steps across the processing chain. In this…

2017

Sequential data generated from various sources in a multi-mode industrial production system provides valuable information on the…

2017

Without heavy modification, the Markov chain is insufficient to handle the task of generating rock drum parts. This paper…

2016

To better understand complex systems, researchers analyze interactions in physical or bio-logical systems with network models. To…

2014

Variable-order Markov Model(VLMM) is a simple but effective model for event sequences modeling. However, the classic VLMM only…

2014

Procedural content generation is a popular technique in the game development. One of its typical applications is generation of…

2012

With the advent of affordable mobile devices such as smartphones and tablets, the vision of Pervasive Computing has made a big…

2011

This paper presents the possibility of using pattern recognition algorithms of infant gaze patterns at six months of age among…

2010

System call trace is one of the behavior characteristics of system process. Each system call of the trace depends on several…

2003

Due to recent advances in robot hardware, there is a great demand for vision-based robot localisation techniques [DeSouza and Kak…