Journal articles on the topic 'Hidden Markov process'
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Alshraideh, Hussam, and George Runger. "Process Monitoring Using Hidden Markov Models." Quality and Reliability Engineering International 30, no. 8 (September 2, 2013): 1379–87. http://dx.doi.org/10.1002/qre.1560.
Full textWang, Bing, Ping Yan, Qiang Zhou, and Libing Feng. "State recognition method for machining process of a large spot welder based on improved genetic algorithm and hidden Markov model." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 11 (January 27, 2016): 2135–46. http://dx.doi.org/10.1177/0954406215626942.
Full textXu, Yangsheng, and Ming Ge. "Hidden Markov model-based process monitoring system." Journal of Intelligent Manufacturing 15, no. 3 (June 2004): 337–50. http://dx.doi.org/10.1023/b:jims.0000026572.03164.64.
Full textElkimakh, Karima, and Abdelaziz Nasroallah. "Hidden Markov Model with Markovian emission." Monte Carlo Methods and Applications 26, no. 4 (December 1, 2020): 303–13. http://dx.doi.org/10.1515/mcma-2020-2072.
Full textYu, Feng-Hui, Wai-Ki Ching, Jia-Wen Gu, and Tak-Kuen Siu. "Interacting default intensity with a hidden Markov process." Quantitative Finance 17, no. 5 (November 7, 2016): 781–94. http://dx.doi.org/10.1080/14697688.2016.1237036.
Full textZuk, Or, Ido Kanter, and Eytan Domany. "The Entropy of a Binary Hidden Markov Process." Journal of Statistical Physics 121, no. 3-4 (November 2005): 343–60. http://dx.doi.org/10.1007/s10955-005-7576-y.
Full textKo, Stanley I. M., Terence T. L. Chong, and Pulak Ghosh. "Dirichlet Process Hidden Markov Multiple Change-point Model." Bayesian Analysis 10, no. 2 (June 2015): 275–96. http://dx.doi.org/10.1214/14-ba910.
Full textJacquet, Philippe, Gadiel Seroussi, and Wojciech Szpankowski. "On the entropy of a hidden Markov process." Theoretical Computer Science 395, no. 2-3 (May 2008): 203–19. http://dx.doi.org/10.1016/j.tcs.2008.01.012.
Full textWu, Hongmin, Yisheng Guan, and Juan Rojas. "Analysis of multimodal Bayesian nonparametric autoregressive hidden Markov models for process monitoring in robotic contact tasks." International Journal of Advanced Robotic Systems 16, no. 2 (March 1, 2019): 172988141983484. http://dx.doi.org/10.1177/1729881419834840.
Full textQi-feng, Yao, Dong Yun, and Wang Zhong-Zhi. "An Entropy Rate Theorem for a Hidden Inhomogeneous Markov Chain." Open Statistics & Probability Journal 8, no. 1 (September 30, 2017): 19–26. http://dx.doi.org/10.2174/1876527001708010019.
Full textSarno, Riyanarto, and Kelly Rossa Sungkono. "Recovering Truncated Streaming Event Log Using Coupled Hidden Markov Model." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 04 (August 8, 2019): 2059012. http://dx.doi.org/10.1142/s0218001420590120.
Full textLu, Sheng, Michael Carl, Xinyue Yao, and Wenchao Su. "Predicting translation behaviorsby using Hidden Markov Model." Translation, Cognition & Behavior 3, no. 1 (May 13, 2020): 76–99. http://dx.doi.org/10.1075/tcb.00035.lu.
Full textFuentes-Beals, Camilo, Alejandro Valdés-Jiménez, and Gonzalo Riadi. "Hidden Markov Modeling with HMMTeacher." PLOS Computational Biology 18, no. 2 (February 10, 2022): e1009703. http://dx.doi.org/10.1371/journal.pcbi.1009703.
Full textKairong Li, Guixiang Chen, and Jilin Cheng. "Research on Hidden Markov Model-based Text Categorization Process." International Journal of Digital Content Technology and its Applications 5, no. 6 (June 30, 2011): 244–51. http://dx.doi.org/10.4156/jdcta.vol5.issue6.29.
Full textLi, Tao, Zhaojie Wang, Guoyu Yang, Yang Cui, Yuling Chen, and Xiaomei Yu. "Semi‐selfish mining based on hidden Markov decision process." International Journal of Intelligent Systems 36, no. 7 (April 6, 2021): 3596–612. http://dx.doi.org/10.1002/int.22428.
Full textWong, Wee Chin, and Jay H. Lee. "DISTURBANCE MODELING FOR PROCESS CONTROL VIA HIDDEN MARKOV MODELS." IFAC Proceedings Volumes 40, no. 5 (2007): 233–38. http://dx.doi.org/10.3182/20070606-3-mx-2915.00157.
Full textChen, Tao, Richard M. Cullen, and Marshall Godwin. "Hidden Markov model using Dirichlet process for de-identification." Journal of Biomedical Informatics 58 (December 2015): S60—S66. http://dx.doi.org/10.1016/j.jbi.2015.09.004.
Full textWang, Fan, Shuai Tan, and Hongbo Shi. "Hidden Markov model-based approach for multimode process monitoring." Chemometrics and Intelligent Laboratory Systems 148 (November 2015): 51–59. http://dx.doi.org/10.1016/j.chemolab.2015.08.025.
Full textZhao, Jing, Yi Zhang, Shiliang Sun, and Haiwei Dai. "Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition." Entropy 23, no. 10 (September 30, 2021): 1290. http://dx.doi.org/10.3390/e23101290.
Full textJensen, Jens Ledet. "Asymptotic normality of M-estimators in nonhomogeneous hidden Markov models." Journal of Applied Probability 48, A (August 2011): 295–306. http://dx.doi.org/10.1239/jap/1318940472.
Full textJensen, Jens Ledet. "Asymptotic normality of M-estimators in nonhomogeneous hidden Markov models." Journal of Applied Probability 48, A (August 2011): 295–306. http://dx.doi.org/10.1017/s0021900200099290.
Full textAlmutiri, Talal, and Farrukh Nadeem. "Markov Models Applications in Natural Language Processing: A Survey." International Journal of Information Technology and Computer Science 14, no. 2 (April 8, 2022): 1–16. http://dx.doi.org/10.5815/ijitcs.2022.02.01.
Full textLamine, Benrais, and Baha Nadia. "Object-Based Scene Classification Modeled by Hidden Markov Models Architecture." International Journal of Cognitive Informatics and Natural Intelligence 15, no. 4 (October 2021): 1–30. http://dx.doi.org/10.4018/ijcini.20211001.oa6.
Full textCAI, JINHAI, and ZHI-QIANG LIU. "MARKOV PROCESS IN PATTERN RECOGNITION." International Journal of Image and Graphics 01, no. 02 (April 2001): 287–311. http://dx.doi.org/10.1142/s0219467801000189.
Full textMursyit, Mohammad, Aji Prasetya Wibawa, Ilham Ari Elbaith Zaeni, and Harits Ar Rosyid. "Pelabelan Kelas Kata Bahasa Jawa Menggunakan Hidden Markov Model." Mobile and Forensics 2, no. 2 (August 29, 2020): 71–83. http://dx.doi.org/10.12928/mf.v2i2.2450.
Full textBorucka, Anna, Edward Kozłowski, Rafał Parczewski, Katarzyna Antosz, Leszek Gil, and Daniel Pieniak. "Supply Sequence Modelling Using Hidden Markov Models." Applied Sciences 13, no. 1 (December 24, 2022): 231. http://dx.doi.org/10.3390/app13010231.
Full textDamian, Camilla, Zehra Eksi, and Rüdiger Frey. "EM algorithm for Markov chains observed via Gaussian noise and point process information: Theory and case studies." Statistics & Risk Modeling 35, no. 1-2 (January 1, 2018): 51–72. http://dx.doi.org/10.1515/strm-2017-0021.
Full textHärdle, Wolfgang Karl, Ostap Okhrin, and Weining Wang. "HIDDEN MARKOV STRUCTURES FOR DYNAMIC COPULAE." Econometric Theory 31, no. 5 (December 22, 2014): 981–1015. http://dx.doi.org/10.1017/s0266466614000607.
Full textSarno, Riyanarto, and Kelly R. Sungkono. "Hidden Markov Model for Process Mining of Parallel Business Processes." International Review on Computers and Software (IRECOS) 11, no. 4 (April 30, 2016): 290. http://dx.doi.org/10.15866/irecos.v11i4.8700.
Full textWong, Wee Chin, and Jay H. Lee. "Fault Detection in Process Systems using Hidden Markov Disturbance Models." IFAC Proceedings Volumes 42, no. 11 (2009): 291–96. http://dx.doi.org/10.3182/20090712-4-tr-2008.00045.
Full textHovland, Geir E., and Brenan J. McCarragher. "Hidden Markov Models as a Process Monitor in Robotic Assembly." Modeling, Identification and Control: A Norwegian Research Bulletin 20, no. 4 (1999): 201–23. http://dx.doi.org/10.4173/mic.1999.4.2.
Full textHovland, Geir E., and Brenan J. McCarragher. "Hidden Markov Models as a Process Monitor in Robotic Assembly." International Journal of Robotics Research 17, no. 2 (February 1998): 153–68. http://dx.doi.org/10.1177/027836499801700204.
Full textSun, Wei, Ahmet Palazoğlu, and Jose A. Romagnoli. "Detecting abnormal process trends by wavelet-domain hidden Markov models." AIChE Journal 49, no. 1 (January 2003): 140–50. http://dx.doi.org/10.1002/aic.690490113.
Full textJing, Renzhi, and Ning Lin. "Tropical Cyclone Intensity Evolution Modeled as a Dependent Hidden Markov Process." Journal of Climate 32, no. 22 (October 22, 2019): 7837–55. http://dx.doi.org/10.1175/jcli-d-19-0027.1.
Full textSETIAWATY, B. "THE ERGODICITY OF THE OBSERVED PROCESS OF A HIDDEN MARKOV MODEL." Journal of Mathematics and Its Applications 3, no. 1 (July 1, 2004): 27. http://dx.doi.org/10.29244/jmap.3.1.27-34.
Full textLarget, Bret. "A canonical representation for aggregated Markov processes." Journal of Applied Probability 35, no. 2 (June 1998): 313–24. http://dx.doi.org/10.1239/jap/1032192850.
Full textLarget, Bret. "A canonical representation for aggregated Markov processes." Journal of Applied Probability 35, no. 02 (June 1998): 313–24. http://dx.doi.org/10.1017/s0021900200014972.
Full textChen, Zhongsheng, Yongmin Yang, Zheng Hu, and Qinghu Zeng. "Fault prognosis of complex mechanical systems based on multi-sensor mixtured hidden semi-Markov models." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 8 (November 21, 2012): 1853–63. http://dx.doi.org/10.1177/0954406212467260.
Full textBoys, R. J., and D. A. Henderson. "On Determining the Order of Markov Dependence of an Observed Process Governed by a Hidden Markov Model." Scientific Programming 10, no. 3 (2002): 241–51. http://dx.doi.org/10.1155/2002/683164.
Full textELLIOTT, ROBERT J., and BING HAN. "A HIDDEN MARKOV APPROACH TO THE FORWARD PREMIUM PUZZLE." International Journal of Theoretical and Applied Finance 09, no. 07 (November 2006): 1009–20. http://dx.doi.org/10.1142/s0219024906003949.
Full textLi, Yaping, Haiyan Li, Zhen Chen, and Ying Zhu. "An Improved Hidden Markov Model for Monitoring the Process with Autocorrelated Observations." Energies 15, no. 5 (February 24, 2022): 1685. http://dx.doi.org/10.3390/en15051685.
Full textLÖHR, WOLFGANG, and NIHAT AY. "ON THE GENERATIVE NATURE OF PREDICTION." Advances in Complex Systems 12, no. 02 (April 2009): 169–94. http://dx.doi.org/10.1142/s0219525909002143.
Full textXu, Xiaoxiao, and Xiongbo Wan. "Dynamic-Event-Based Fault Detection for Markov Jump Systems Under Hidden-Markov Mode Observation." Journal of Advanced Computational Intelligence and Intelligent Informatics 24, no. 7 (December 20, 2020): 917–24. http://dx.doi.org/10.20965/jaciii.2020.p0917.
Full textKorolkiewicz, Małgorzata Wiktoria. "A Dependent Hidden Markov Model of Credit Quality." International Journal of Stochastic Analysis 2012 (August 13, 2012): 1–13. http://dx.doi.org/10.1155/2012/719237.
Full textHerkenrath, Ulrich. "Generalized adaptive exponential smoothing of observations from an ergodic hidden Markov model." Journal of Applied Probability 36, no. 4 (December 1999): 987–98. http://dx.doi.org/10.1239/jap/1032374749.
Full textHerkenrath, Ulrich. "Generalized adaptive exponential smoothing of observations from an ergodic hidden Markov model." Journal of Applied Probability 36, no. 04 (December 1999): 987–98. http://dx.doi.org/10.1017/s0021900200017800.
Full textBäuerle, Nicole, Igor Gilitschenski, and Uwe Hanebeck. "Exact and approximate hidden Markov chain filters based on discrete observations." Statistics & Risk Modeling 32, no. 3-4 (December 1, 2015): 159–76. http://dx.doi.org/10.1515/strm-2015-0004.
Full textSarno, Riyanarto, and Kelly R. Sungkono. "Coupled Hidden Markov Model for Process Mining of Invisible Prime Tasks." International Review on Computers and Software (IRECOS) 11, no. 6 (June 30, 2016): 539. http://dx.doi.org/10.15866/irecos.v11i6.9555.
Full textSun, Shiliang, Jing Zhao, and Qingbin Gao. "Modeling and recognizing human trajectories with beta process hidden Markov models." Pattern Recognition 48, no. 8 (August 2015): 2407–17. http://dx.doi.org/10.1016/j.patcog.2015.02.028.
Full textBayraktar, Erhan, and Michael Ludkovski. "Sequential tracking of a hidden Markov chain using point process observations." Stochastic Processes and their Applications 119, no. 6 (June 2009): 1792–822. http://dx.doi.org/10.1016/j.spa.2008.09.003.
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