Markov chains are used in analysis in many fields. One of them is performance evaluation of computer systems, especially computer networks.
Feb 5, 2015 · Markov chains are used in analysis in many fields. One of them is performance evaluation of computer systems, especially computer networks.
Abstract. Markov chains are used in analysis in many fields. One of them is per- formance evaluation of computer systems, especially computer networks.
Bibliographic details on Efficient Representation of Transition Matrix in the Markov Process Modeling of Computer Networks.
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All "efficient triples" (S,f,g) ( S , f , g ) are characterized for the Markov chain in which pij p i j and pi′j′(i′≠i) p i ′ j ′ ( i ′ ≠ i ) are not related ...
In this paper we present a machine learning algorithm for modeling route prediction based on a Markov chain model, and a route prediction algorithm based on a ...
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Apr 12, 2013 · Computing an approximation of P1=eQ is typically done by some kind of polynomial expansion of the matrix exponential.
It obeys the Markov property that the distribution over a future variable is independent of past variables given the state at the present time. We introduce ...
Jul 29, 2020 · We propose an efficient algorithm to learn the transition probabilities of a Markov chain in a way that its weighted PageRank scores meet some predefined ...
Abstract. The paper contains the review and the discussion on modelling communication networks with the use of queuing models and Markov chains.