Log in

Relevant bibliographies by topics / Hidden Markov modelling / Journal articles

To see the other types of publications on this topic, follow the link: Hidden Markov modelling.

Journal articles on the topic 'Hidden Markov modelling'

Author: Grafiati

Published: 26 June 2021

Last updated: 29 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Hidden Markov modelling.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Rasku, J., M. Juhola, T. Tossavainen, I. Pyykkö, and E. Toppila. "Modelling stabilograms with hidden Markov models." Journal of Medical Engineering & Technology 32, no. 4 (2008): 273–83. http://dx.doi.org/10.1080/03091900600968908.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Whiting, J. P., M. F. Lambert, and A. V. Metcalfe. "Modelling persistence in annual Australia point rainfall." Hydrology and Earth System Sciences 7, no. 2 (2003): 197–211. http://dx.doi.org/10.5194/hess-7-197-2003.

Full text

Abstract:

Abstract. Annual rainfall time series for Sydney from 1859 to 1999 is analysed. Clear evidence of nonstationarity is presented, but substantial evidence for persistence or hidden states is more elusive. A test of the hypothesis that a hidden state Markov model reduces to a mixture distribution is presented. There is strong evidence of a correlation between the annual rainfall and climate indices. Strong evidence of persistence of one of these indices, the Pacific Decadal Oscillation (PDO), is presented together with a demonstration that this is better modelled by fractional differencing than b

APA, Harvard, Vancouver, ISO, and other styles

3

Rimella, Lorenzo, and Nick Whiteley. "Hidden Markov Neural Networks." Entropy 27, no. 2 (2025): 168. https://doi.org/10.3390/e27020168.

Full text

Abstract:

We define an evolving in-time Bayesian neural network called a Hidden Markov Neural Network, which addresses the crucial challenge in time-series forecasting and continual learning: striking a balance between adapting to new data and appropriately forgetting outdated information. This is achieved by modelling the weights of a neural network as the hidden states of a Hidden Markov model, with the observed process defined by the available data. A filtering algorithm is employed to learn a variational approximation of the evolving-in-time posterior distribution over the weights. By leveraging a s

APA, Harvard, Vancouver, ISO, and other styles

4

Borucka, Anna, Edward Kozłowski, Rafał Parczewski, Katarzyna Antosz, Leszek Gil, and Daniel Pieniak. "Supply Sequence Modelling Using Hidden Markov Models." Applied Sciences 13, no. 1 (2022): 231. http://dx.doi.org/10.3390/app13010231.

Full text

Abstract:

Logistics processes, their effective planning as well as proper management and effective implementation are of key importance in an enterprise. This article analyzes the process of supplying raw materials necessary for the implementation of production tasks. The specificity of the examined waste processing company requires the knowledge about the size of potential deliveries because the delivered waste must be properly managed and stored due to its toxicity to the natural environment. In the article, hidden Markov models were used to assess the level of supply. They are a statistical modeling

APA, Harvard, Vancouver, ISO, and other styles

5

Nkemnole, Edesiri Bridget, and Ekene Nwaokoro. "Modelling Customer Relationships as Hidden Markov Chains." Path of Science 6, no. 11 (2020): 5011–19. http://dx.doi.org/10.22178/pos.64-9.

Full text

Abstract:

Models in behavioural relationship marketing suggest that relations between the customer and the company change over time as a result of the continuous encounter. Some theoretical models have been put forward concerning relationship marketing, both from the standpoints of consumer behaviour and empirical modelling. In addition to these, this study proposes the hidden Markov model (HMM) as a potential tool for assessing customer relationships. Specifically, the HMM is submitted via the framework of a Markov chain model to classify customers relationship dynamics of a telecommunication service c

APA, Harvard, Vancouver, ISO, and other styles

6

Rama, J. "Fuzzy Methods for Soft Hidden Markov Modelling." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (2018): 23–31. http://dx.doi.org/10.22214/ijraset.2018.1005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Koski, Antti. "Modelling ECG signals with hidden Markov models." Artificial Intelligence in Medicine 8, no. 5 (1996): 453–71. http://dx.doi.org/10.1016/s0933-3657(96)00352-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Baran, Robert H. "A software package for hidden Markov modelling." Mathematical and Computer Modelling 11 (1988): 476–80. http://dx.doi.org/10.1016/0895-7177(88)90538-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Vaseghi, S. V. "State duration modelling in hidden Markov models." Signal Processing 41, no. 1 (1995): 31–41. http://dx.doi.org/10.1016/0165-1684(94)00088-h.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

George, Sebastian, and Ambily Jose. "Generalized Poisson Hidden Markov Model for Overdispersed or Underdispersed Count Data." Revista Colombiana de Estadística 43, no. 1 (2020): 71–82. http://dx.doi.org/10.15446/rce.v43n1.77542.

Full text

Abstract:

The most suitable statistical method for explaining serial dependency in time series count data is that based on Hidden Markov Models (HMMs). These models assume that the observations are generated from a finite mixture of distributions governed by the principle of Markov chain (MC). Poisson-Hidden Markov Model (P-HMM) may be the most widely used method for modelling the above said situations. However, in real life scenario, this model cannot be considered as the best choice. Taking this fact into account, we, in this paper, go for Generalised Poisson Distribution (GPD) for modelling count dat

APA, Harvard, Vancouver, ISO, and other styles

11

Chordia, Parag, Avinash Sastry, and Sertan Şentürk. "Predictive Tabla Modelling Using Variable-length Markov and Hidden Markov Models." Journal of New Music Research 40, no. 2 (2011): 105–18. http://dx.doi.org/10.1080/09298215.2011.576318.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Segura, J. C., A. J. Rubio, A. M. Peinado, P. García, and R. Román. "Multiple VQ hidden Markov modelling for speech recognition." Speech Communication 14, no. 2 (1994): 163–70. http://dx.doi.org/10.1016/0167-6393(94)90006-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Resnick, Sidney, and Ajay Subramanian. "Heavy tailed hidden semi-markov models." Communications in Statistics. Stochastic Models 14, no. 1-2 (1998): 319–34. http://dx.doi.org/10.1080/15326349808807474.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Fairuz, Ersya Nurul, Rina Widyasari, and Rima Aprilia. "Stochastic Modeling with Poisson Hidden Markov in Hepatitis B Cases." Jurnal Pijar Mipa 19, no. 6 (2024): 1111–17. https://doi.org/10.29303/jpm.v19i6.7510.

Full text

Abstract:

Hepatitis B is transmitted through blood or body fluids contaminated with the virus from Hepatitis B sufferers (carriers). The factors that cause a person to contract Hepatitis B are sexual intercourse, blood contact, placental contact from the mother to the baby, and saliva. The incubation period for Hepatitis B Virus (HBV) ranges from 30 - 180 days with an average of 60 - 90 days. HBV can be detected 30 - 60 days after infection and persists for a certain period. Thus, the behaviour of infectious diseases can be observed and described using mathematical modelling. Mathematical modelling is a

APA, Harvard, Vancouver, ISO, and other styles

15

Nagaraja, Haikady N. "Inference in Hidden Markov Models." Technometrics 48, no. 4 (2006): 574–75. http://dx.doi.org/10.1198/tech.2006.s440.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Ge, Yuan, Yan Zhang, Wengen Gao, Fanyong Cheng, Nuo Yu, and Jincenzi Wu. "Modelling and Prediction of Random Delays in NCSs Using Double-Chain HMMs." Discrete Dynamics in Nature and Society 2020 (October 29, 2020): 1–16. http://dx.doi.org/10.1155/2020/6848420.

Full text

Abstract:

This paper is concerned with the modelling and prediction of random delays in networked control systems. The stochastic distribution of the random delay in the current sampling period is assumed to be affected by the network state in the current sampling period as well as the random delay in the previous sampling period. Based on this assumption, the double-chain hidden Markov model (DCHMM) is proposed in this paper to model the delays. There are two Markov chains in this model. One is the hidden Markov chain which consists of the network states and the other is the observable Markov chain whi

APA, Harvard, Vancouver, ISO, and other styles

17

Banachewicz, Konrad, André Lucas, and Aad van der Vaart. "Modelling Portfolio Defaults Using Hidden Markov Models with Covariates." Econometrics Journal 11, no. 1 (2008): 155–71. http://dx.doi.org/10.1111/j.1368-423x.2008.00232.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Durand, Jean-Baptiste, and Olivier Gaudoin. "Software reliability modelling and prediction with hidden Markov chains." Statistical Modelling: An International Journal 5, no. 1 (2005): 75–93. http://dx.doi.org/10.1191/1471082x05st087oa.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Stanislavsky, A., W. Nitka, M. Małek, K. Burnecki, and J. Janczura. "Prediction performance of Hidden Markov modelling for solar flares." Journal of Atmospheric and Solar-Terrestrial Physics 208 (October 2020): 105407. http://dx.doi.org/10.1016/j.jastp.2020.105407.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Qiu, Qinfu, and Xiong Chen. "Behaviour-driven dynamic pricing modelling via hidden Markov model." International Journal of Bio-Inspired Computation 11, no. 1 (2018): 27. http://dx.doi.org/10.1504/ijbic.2018.090071.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Sebastian, Tunny, Visalakshi Jeyaseelan, Lakshmanan Jeyaseelan, Shalini Anandan, Sebastian George, and Shrikant I. Bangdiwala. "Decoding and modelling of time series count data using Poisson hidden Markov model and Markov ordinal logistic regression models." Statistical Methods in Medical Research 28, no. 5 (2018): 1552–63. http://dx.doi.org/10.1177/0962280218766964.

Full text

Abstract:

Hidden Markov models are stochastic models in which the observations are assumed to follow a mixture distribution, but the parameters of the components are governed by a Markov chain which is unobservable. The issues related to the estimation of Poisson-hidden Markov models in which the observations are coming from mixture of Poisson distributions and the parameters of the component Poisson distributions are governed by an m-state Markov chain with an unknown transition probability matrix are explained here. These methods were applied to the data on Vibrio cholerae counts reported every month

APA, Harvard, Vancouver, ISO, and other styles

22

Du, Shi Ping, Jian Wang, and Yu Ming Wei. "The Training Algorithm of Fuzzy Coupled Hidden Markov Models." Applied Mechanics and Materials 568-570 (June 2014): 254–59. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.254.

Full text

Abstract:

A variety of coupled hidden Markov models (CHMMs) have recently been proposed as extensions of HMM to better characterize multiple interdependent sequences. The resulting models have multiple state variables that are temporally coupled via matrices of conditional probabilities. A generalised fuzzy approach to statistical modelling techniques is proposed in this paper. Fuzzy C-means (FCM) and fuzzy entropy (FE) techniques are combined into a generalised fuzzy technique and applied to coupled hidden Markov models. The CHMM based on the fuzzy c-means (FCM) and fuzzy entropy (FE) is referred to as

APA, Harvard, Vancouver, ISO, and other styles

23

GALIANO, I., E. SANCHIS, F. CASACUBERTA, and I. TORRES. "ACOUSTIC-PHONETIC DECODING OF SPANISH CONTINUOUS SPEECH." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 01 (1994): 155–80. http://dx.doi.org/10.1142/s0218001494000073.

Full text

Abstract:

The design of current acoustic-phonetic decoders for a specific language involves the selection of an adequate set of sublexical units, and a choice of the mathematical framework for modelling the corresponding units. In this work, the baseline chosen for continuous Spanish speech consists of 23 sublexical units that roughly correspond to the 24 Spanish phonemes. The process of selection of such a baseline was based on language phonetic criteria and some experiments with an available speech corpora. On the other hand, two types of models were chosen for this work, conventional Hidden Markov Mo

APA, Harvard, Vancouver, ISO, and other styles

24

Kim, Hee-Young. "Applications of the Conway-Maxwell-Poisson Hidden Markov models for analyzing traffic accident." Korean Data Analysis Society 24, no. 5 (2022): 1655–65. http://dx.doi.org/10.37727/jkdas.2022.24.5.1655.

Full text

Abstract:

This paper documents the application of the Conway-Maxwell-Poisson(CMP) hidden Markov model for modelling motor vehicle crashes. The CMP distribution is a twoparameter extension of the Poisson distribution that generalizes some well-known discrete distributions(Poisson, Bernoulli and geometric). Also it leads to the generalizations of distributions derived from theses discrete distributions, that is, the binomial and negative binomial distributions. The advantage of CMP distribution is its ability to handle both under and over-dispersion through controlling one special parameter in the distrib

APA, Harvard, Vancouver, ISO, and other styles

25

DUVAL, LAURENT, and CAROLINE CHAUX. "LAPPED TRANSFORMS AND HIDDEN MARKOV MODELS FOR SEISMIC DATA FILTERING." International Journal of Wavelets, Multiresolution and Information Processing 02, no. 04 (2004): 455–76. http://dx.doi.org/10.1142/s0219691304000676.

Full text

Abstract:

Seismic exploration provides information about the ground substructures. Seismic images are generally corrupted by several noise sources. Hence, efficient denoising procedures are required to improve the detection of essential geological information. Wavelet bases provide sparse representation for a wide class of signals and images. This property makes them good candidates for efficient filtering tools, allowing the separation of signal and noise coefficients. Recent works have improved their performance by modelling the intra- and inter-scale coefficient dependencies using hidden Markov model

APA, Harvard, Vancouver, ISO, and other styles

26

MUKHERJEE, SHIBAJI, and SUSHMITA MITRA. "HIDDEN MARKOV MODELS, GRAMMARS, AND BIOLOGY: A TUTORIAL." Journal of Bioinformatics and Computational Biology 03, no. 02 (2005): 491–526. http://dx.doi.org/10.1142/s0219720005001077.

Full text

Abstract:

Biological sequences and structures have been modelled using various machine learning techniques and abstract mathematical concepts. This article surveys methods using Hidden Markov Model and functional grammars for this purpose. We provide a formal introduction to Hidden Markov Model and grammars, stressing on a comprehensive mathematical description of the methods and their natural continuity. The basic algorithms and their application to analyzing biological sequences and modelling structures of bio-molecules like proteins and nucleic acids are discussed. A comparison of the different appro

APA, Harvard, Vancouver, ISO, and other styles

27

U.Saravanakumar. "Clustering Textures with EHG Algorithm for Modelling Video." International Journal of Computer Science and Engineering Communications 1, no. 1 (2013): 42–46. https://doi.org/10.5281/zenodo.821755.

Full text

Abstract:

In this paper we present a novel approach for common recognition of group activities for video surveillance applications. We propose a Energetic-based approach for detecting abnormal events in surveillance video. It requires the appropriate definition of similarity between events. Human pose estimation via motion tracking systems can be considered as a regression problem within a discriminative framework. We defined the overfitting problem was handled by Hidden Markov Model based similarity. We propose in this paper a multi model-based similarity measure. In this measure, the Hidden Markov Mod

APA, Harvard, Vancouver, ISO, and other styles

28

Damian, 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 (2018): 51–72. http://dx.doi.org/10.1515/strm-2017-0021.

Full text

Abstract:

AbstractIn this paper we study parameter estimation via the Expectation Maximization (EM) algorithm for a continuous-time hidden Markov model with diffusion and point process observation. Inference problems of this type arise for instance in credit risk modelling. A key step in the application of the EM algorithm is the derivation of finite-dimensional filters for the quantities that are needed in the E-Step of the algorithm. In this context we obtain exact, unnormalized and robust filters, and we discuss their numerical implementation. Moreover, we propose several goodness-of-fit tests for hi

APA, Harvard, Vancouver, ISO, and other styles

29

Ghiringhelli, C., F. Bartolucci, A. Mira, and G. Arbia. "Modelling Nonstationary Spatial Lag Models with Hidden Markov Random Fields." Spatial Statistics 44 (August 2021): 100522. http://dx.doi.org/10.1016/j.spasta.2021.100522.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

van Wijk, Robert, Andrea Michelle Rios Lazcano, Xabier Carrera Akutain, and Barys Shyrokau. "Data-driven Steering Torque Behaviour Modelling with Hidden Markov Models." IFAC-PapersOnLine 55, no. 29 (2022): 31–36. http://dx.doi.org/10.1016/j.ifacol.2022.10.227.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Huang, X. D., and M. A. Jack. "Hidden Markov modelling of speech based on a semicontinuous model." Electronics Letters 24, no. 1 (1988): 6–7. http://dx.doi.org/10.1049/el:19880004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Megali, G., S. Sinigaglia, O. Tonet, and P. Dario. "Modelling and Evaluation of Surgical Performance Using Hidden Markov Models." IEEE Transactions on Biomedical Engineering 53, no. 10 (2006): 1911–19. http://dx.doi.org/10.1109/tbme.2006.881784.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Ossadtchi, A., J. C. Mosher, W. W. Sutherling, R. E. Greenblatt, and R. M. Leahy. "Hidden Markov modelling of spike propagation from interictal MEG data." Physics in Medicine and Biology 50, no. 14 (2005): 3447–69. http://dx.doi.org/10.1088/0031-9155/50/14/017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Jacobsen, C. R., and M. Nielsen. "Stylometry of paintings using hidden Markov modelling of contourlet transforms." Signal Processing 93, no. 3 (2013): 579–91. http://dx.doi.org/10.1016/j.sigpro.2012.09.019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Sánchez, Veralia Gabriela, Ola Marius Lysaker, and Nils-Olav Skeie. "Human behaviour modelling for welfare technology using hidden Markov models." Pattern Recognition Letters 137 (September 2020): 71–79. http://dx.doi.org/10.1016/j.patrec.2019.09.022.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Lethanh, Nam, and Bryan T. Adey. "Use of exponential hidden Markov models for modelling pavement deterioration." International Journal of Pavement Engineering 14, no. 7 (2013): 645–54. http://dx.doi.org/10.1080/10298436.2012.715647.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Anisimov, Vladimir V., Hugo J. Maas, Meindert Danhof, and Oscar Della Pasqua. "Analysis of responses in migraine modelling using hidden Markov models." Statistics in Medicine 26, no. 22 (2007): 4163–78. http://dx.doi.org/10.1002/sim.2852.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Fisher, Aiden, David Green, and Andrew Metcalfe. "Modelling of hydrological persistence for hidden state Markov decision processes." Annals of Operations Research 199, no. 1 (2011): 215–24. http://dx.doi.org/10.1007/s10479-011-0992-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Huang, Huilin. "Strong Law of Large Numbers for Hidden Markov Chains Indexed by an Infinite Tree with Uniformly Bounded Degrees." International Journal of Stochastic Analysis 2014 (December 9, 2014): 1–6. http://dx.doi.org/10.1155/2014/628321.

Full text

Abstract:

We study strong limit theorems for hidden Markov chains fields indexed by an infinite tree with uniformly bounded degrees. We mainly establish the strong law of large numbers for hidden Markov chains fields indexed by an infinite tree with uniformly bounded degrees and give the strong limit law of the conditional sample entropy rate.

APA, Harvard, Vancouver, ISO, and other styles

40

BALDI, PIERRE. "Substitution Matrices and Hidden Markov Models." Journal of Computational Biology 2, no. 3 (1995): 487–91. http://dx.doi.org/10.1089/cmb.1995.2.487.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Goodall, Victoria L., Sam M. Ferreira, Paul J. Funston, and Nkabeng Maruping-Mzileni. "Uncovering hidden states in African lion movement data using hidden Markov models." Wildlife Research 46, no. 4 (2019): 296. http://dx.doi.org/10.1071/wr18004.

Full text

Abstract:

Context Direct observations of animals are the most reliable way to define their behavioural characteristics; however, to obtain these observations is costly and often logistically challenging. GPS tracking allows finer-scale interpretation of animal responses by measuring movement patterns; however, the true behaviour of the animal during the period of observation is seldom known. Aims The aim of our research was to draw behavioural inferences for a lioness with a hidden Markov model and to validate the predicted latent-state sequence with field observations of the lion pride. Methods We used

APA, Harvard, Vancouver, ISO, and other styles

42

Aggoun, Lakhdar. "Recursive smoothers for hidden discrete-time Markov chains." Journal of Applied Mathematics and Stochastic Analysis 2005, no. 3 (2005): 345–51. http://dx.doi.org/10.1155/jamsa.2005.345.

Full text

Abstract:

We consider a discrete-time Markov chain observed through another Markov chain. The proposed model extends models discussed by Elliott et al. (1995). We propose improved recursive formulae to update smoothed estimates of processes related to the model. These recursive estimates are used to update the parameter of the model via the expectation maximization (EM) algorithm.

APA, Harvard, Vancouver, ISO, and other styles

43

Genon-Catalot, Valentine, and Catherine Laredo. "Leroux's method for general hidden Markov models." Stochastic Processes and their Applications 116, no. 2 (2006): 222–43. http://dx.doi.org/10.1016/j.spa.2005.10.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Marangu, Davis Mwenda, and Gilles Protais Lekelem Dongmo. "Modelling of Heterogeneity and Serial Dependencies in Precipitation Data Using Hidden Markov Models." Asian Journal of Probability and Statistics 27, no. 3 (2025): 43–62. https://doi.org/10.9734/ajpas/2025/v27i3722.

Full text

Abstract:

This paper explores the application of Hidden Markov Models (HMMs) and Finite mixture models (FMMs) for analyzing precipitation data characterized by unobserved heterogeneity, serial dependencies, and unobserved states. Given the significant role of precipitation in agriculture, water resource management, and disaster risk reduction, the study addresses the challenges posed by the nature of precipitation data. We first developed a simulation framework incorporating autoregressive emissions to model distinct hidden states, and later applied the approach to actual rainfall data from the Bungoma

APA, Harvard, Vancouver, ISO, and other styles

45

Sidrow, Evan, Nancy Heckman, Sarah M. E. Fortune, Andrew W. Trites, Ian Murphy, and Marie Auger‐Méthé. "Modelling multi‐scale, state‐switching functional data with hidden Markov models." Canadian Journal of Statistics 50, no. 1 (2021): 327–56. http://dx.doi.org/10.1002/cjs.11673.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Vaičiūnas, Airenas, Gailius Raškinis, and Asta Kazlauskienė. "Corpus-Based Hidden Markov Modelling of the Fundamental Frequency of Lithuanian." Informatica 27, no. 3 (2016): 673–88. http://dx.doi.org/10.15388/informatica.2016.105.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Lin, H. P., F. S. Tsai, and M. J. Tseng. "Satellite propagation channel modelling using photogrammetry and hidden Markov model approach." IEE Proceedings - Microwaves, Antennas and Propagation 148, no. 6 (2001): 375. http://dx.doi.org/10.1049/ip-map:20010728.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Ariki, Y., and M. A. Jack. "Enhanced time duration constraints in hidden Markov modelling for phoneme recognition." Electronics Letters 25, no. 13 (1989): 824. http://dx.doi.org/10.1049/el:19890555.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Mitra, Sovan, and Tong Ji. "Optimisation of stochastic programming by hidden Markov modelling based scenario generation." International Journal of Mathematics in Operational Research 2, no. 4 (2010): 436. http://dx.doi.org/10.1504/ijmor.2010.033439.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Luck, Alexander, Pascal Giehr, Karl Nordstrom, Jorn Walter, and Verena Wolf. "Hidden Markov Modelling Reveals Neighborhood Dependence of Dnmt3a and 3b Activity." IEEE/ACM Transactions on Computational Biology and Bioinformatics 16, no. 5 (2019): 1598–609. http://dx.doi.org/10.1109/tcbb.2019.2910814.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!