Results 21 to 30 of about 43,162 (235)
Guided Cluster Discovery with Markov Model [PDF]
Applied Intelligence, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Research on HMM based link prediction method in heterogeneous network
Tongxin xuebao, 2022 In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of ...
Rong QIAN +4 more
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Mode Clustering for Markov Jump Systems [PDF]
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 In this work, we consider the problem of mode clustering in Markov jump models. This model class consists of multiple dynamical modes with a switching sequence that determines how the system switches between them over time. Under different active modes, the observations can have different characteristics. Given the observations only and without knowing
Du, Zhe, Ozay, Necmiye, Balzano, Laura
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Pricing of cyber insurance premiums using a Markov-based dynamic model with clustering structure
PLoS ONE, 2021 Cyber insurance is a risk management option to cover financial losses caused by cyberattacks. Researchers have focused their attention on cyber insurance during the last decade.
Yeftanus Antonio +2 more
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Clustering Markov Decision Processes For Continual Transfer [PDF]
, 2013 56 pages, Working ...
Mahmud, M. M. +3 more
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Semi-supervised clustering via information-theoretic markov chain aggregation
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022 13 pages, 6 figures; this is an extended version of a short paper accepted at ACM SAC 2022 (minor changes to the text; error in source code corrected)
Steger, Sophie +2 more
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Operon Prediction Model Based on Markov Clustering Algorithm [PDF]
International Journal Bioautomation, 2019 There are many operon prediction models, but few methods can be applied to the operon prediction of new sequencing species effectively. In this paper, an operon prediction model based on Markov clustering algorithm is proposed.
Zhenmei Zhang, Yongquan Liang
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Deep Text Mining for Automatic Keyphrase Extraction from Text Documents
Journal of Intelligent Systems, 2011 Due to existence of a huge amount of textual data either on the World Wide Web or in textual databases like PubMed, the development of novel automatic keyphrase extraction methods has emerged as one of the key research problems in recent past ...
Abulaish Muhammad +2 more
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Deconvolutive Clustering of Markov States [PDF]
, 2006 In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the name indicates, this problem is related to deconvolutive blind signal separation.
Ata Kabán, Xin Wang
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Clustering of Markov chain exceedances
Bernoulli, 2013 Published in at http://dx.doi.org/10.3150/12-BEJSP08 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
Resnick, Sidney I., Zeber, David
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