Results 11 to 20 of about 557,766 (311)
Advances in Mechanical Engineering, 2022 Aiming at the contact strength reliability of variable hyperbolic circular arc gear, a reliability analysis method for contact strength of variable hyperbolic circular arc gear based on Kriging model and advanced first-order and second-moment algorithm ...
Zhang Qi +6 more
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Avoiding Overfitting in Variable-Order Markov Models: a Cross-Validation Approach [PDF]
Higher$\text{-}$order Markov chain models are widely used to represent agent transitions in dynamic systems, such as passengers in transport networks. They capture transitions in complex systems by considering not only the current state but also the path of previously visited states. For example, the likelihood of train passengers traveling from Paris (
Valeria Secchini +2 more
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International Journal of Interactive Multimedia and Artificial Intelligence, 2016 This paper presents the results and conclusions found when predicting the behavior of gamers in commercial videogames datasets. In particular, it uses Variable-Order Markov (VOM) to build a probabilistic model that is able to use the historic behavior of
Alejandro Baldominos Gómez +3 more
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Variable order Markov modellingfor LEO mobile satellite channels
Electronics Letters, 1999 A finite state Markov channel (FSMC) model for a digital narrowband mobile LEO satellite channel is presented, which can be used to predict the time-varying behaviour of the channel and to adapt the transmission to the channel state. The model is developed with the help of the so-called context tree pruning (CTP) algorithm.
BABICH, FULVIO +2 more
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A Configurable Statistical Lossless Compression Core Based on Variable Order Markov Modeling and Arithmetic Coding [PDF]
IEEE Transactions on Computers, 2005 This paper presents a practical realization in hardware of the concepts of variable order Markov modeling using multisymbol alphabets and arithmetic coding for lossless compression of universal data. This type of statistical coding algorithm has long been regarded as being able to deliver very high compression ratios close to the information content of
Jose Nunez‐Yanez, V.A. Chouliaras
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Bayesian analysis of variable-order, reversible Markov chains [PDF]
, 2011 We define a conjugate prior for the reversible Markov chain of order $r$. The prior arises from a partially exchangeable reinforced random walk, in the same way that the Beta distribution arises from the exchangeable Poly\'{a} urn.
Bacallado, Sergio
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Predictive Channel Access in Cognitive Radio Networks Based on Variable Order Markov Models [PDF]
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011 The concept of CR enables the unlicensed users to share the spectrum with licensed users, on the condition that the licensed users have preemptive priority. The use of the channel by unlicensed users should not result in more than acceptable interference level to the licensed users, if interference occurs.
Chamara Devanarayana, Attahiru Sule Alfa
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Bayesian variable order Markov models: Towards Bayesian predictive state representations
, 2009 We present a Bayesian variable order Markov model that shares many similarities with predictive state representations. The resulting models are compact and much easier to specify and learn than classical predictive state representations. Moreover, we show that they significantly outperform a more straightforward Bayesian hierarchical Markov chain model
Christos Dimitrakakis
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Advances in Science, Technology and Engineering Systems Journal, 2019 Ying Xia +3 more
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