The representation of high order Markov process through equivalent first order process

dc.contributor.authorYakovyna, Vitaliy
dc.contributor.authorNytrebych, Oksana
dc.contributor.authorFedasyuk, Dmytro
dc.date.accessioned2014-03-04T13:06:28Z
dc.date.available2014-03-04T13:06:28Z
dc.date.issued2013
dc.description.abstractThe expanded transition probability matrix with size of S Sn  S is used to represent n-order Markov process, which consists of S components, through first order process. With growth of process order the matrix size increases rapidly and a lot of resources are needed to store it, although many of its elements are zero. In this paper we propose to split states of Markov processes to "fictitious" depending on the model order, which can significantly reduce the size of the transition probability matrix.uk_UA
dc.identifier.citationYakovyna V. The representation of high order Markov process through equivalent first order process / Vitaliy Yakovyna, Oksana Nytrebych, Dmytro Fedasyuk // Комп'ютерні науки та інженерія : матеріали VІ Міжнародної конференції молодих вчених CSE-2013, 21–23 листопада 2013 року, Україна, Львів / Міністерство освіти і науки України, Національний університет "Львівська політехніка". – Львів : Видавництво Львівської політехніки, 2013. – С. 216-217. – (4-й Міжнародний молодіжний фестиваль науки "Litteris et Artibus"). – Bibliography: 9 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/23807
dc.language.isoenuk_UA
dc.publisherВидавництво Львівської політехнікиuk_UA
dc.subjectsoftware reliabilityuk_UA
dc.subjectarchitecture software reliability modelsuk_UA
dc.subjecthigher order Markov processuk_UA
dc.subjecttransition probability matrixuk_UA
dc.titleThe representation of high order Markov process through equivalent first order processuk_UA
dc.typeArticleuk_UA

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