The DOI matches its Crossref record.
Markov Chains: From Theory to Implementation and Experimentation
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In the citing paper
“In addition, the Markov model [159, 296] (elaborated 50 years earlier) was leveraged to construct a process based on discrete-time state transitions and action rewards, named Markov Decision Process (MDP), which formalizes sequential decision-making problems in a fully observable, controlled environment [46].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [159]
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Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036
“In addition, the Markov model [159, 296] (elaborated 50 years earlier) was leveraged to construct a process based on discrete-time state transitions and action rewards, named Markov Decision Process (MDP), which formalizes sequential decision-making problems in a fully observable, controlled environment [46].”
MethodXiao, Z., Fu, X., Zhang, L., & Goh, R. S. M. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2908191 · Cited by 205
“Markov model has been applied for the prediction purpose in many fields [178].”
MethodLearning with Biased Complementary Labels
Yu, X., Liu, T., Gong, M., & Tao, D. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01246-5_5 · Cited by 192
“Note that transition matrix is also widely exploited in Markov chains [7] and has many applications in machine learning, such as learning with label noise [21, 26, 22].”
BackgroundBABEL: Bodies, Action and Behavior with English Labels
Punnakkal, A. R., Chandrasekaran, A., Athanasiou, N., Quirós-Ramírez, M. A., & Black, M. J. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00078 · Cited by 218
“Concretely, we compute P ( a i | a i − 1 , a i − 2 , a i − 3 ) , an order 3 Markov Chain [9], and observe in Table 2 that random walks along this chain generate plausible action sequences for human movement.”
Sampling methods for solving Bayesian model updating problems: A tutorial
Lye, A., Cicirello, A., & Patelli, E. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.107760 · Cited by 169
“;N whereby the value of hiþ1 depends only on the previous value hi [98].”
Background
Metadata
- Authors
- Gagniuc, P. A.
- Corresponding author
- Gagniuc, Paul A
- ORCID
- Gagniuc, Paul A
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2017-06-22
- OpenAlex
- W4235646468
- Cited by
- 415
- References
- 0
- Citations by year
- 2026: 19 · 2025: 37 · 2024: 64 · 2023: 60 · 2022: 54 · 2021: 68 · 2020: 58 · 2019: 38 · 2018: 17
- FWCI
- 7.99
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Markov Chains and Monte Carlo Methods
- Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
- Keywords
- Markov chains, stochastic processes, transition probabilities, Markov property
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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