Relevant bibliographies by topics / Bayes Modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Bayes Modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Bayes Modelling"

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Canale, A., and D. B. Dunson. "Nonparametric Bayes modelling of count processes." Biometrika 100, no. 4 (2013): 801–16. http://dx.doi.org/10.1093/biomet/ast037.

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Schulte, Oliver, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, and Yuke Zhu. "Modelling relational statistics with Bayes Nets." Machine Learning 94, no. 1 (2013): 105–25. http://dx.doi.org/10.1007/s10994-013-5362-7.

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Verrall, R. J. "Bayes and Empirical Bayes Estimation for the Chain Ladder Model." ASTIN Bulletin 20, no. 2 (1990): 217–43. http://dx.doi.org/10.2143/ast.20.2.2005444.

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AbstractThe subject of predicting outstanding claims on a porfolio of general insurance policies is approached via the theory of hierarchical Bayesian linear models. This is particularly appropriate since the chain ladder technique can be expressed in the form of a linear model. The statistical methods which are applied allow the practitioner to use different modelling assumptions from those implied by a classical formulation, and to arrive at forecasts which have a greater degree of inherent stability. The results can also be used for other linear models. By using a statistical structure, a s
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Wibawa, Aji Prasetya, Yana Ningtyas, Nimas Hadi Atmaja, et al. "Modelling Naïve Bayes for Tembang Macapat Classification." Harmonia: Journal of Arts Research and Education 22, no. 1 (2022): 28–36. http://dx.doi.org/10.15294/harmonia.v22i1.34776.

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The tembang macapat can be classified using its cultural concepts of guru lagu, guru wilangan, and guru gatra. People may face difficulties recognizing certain songs based on the established rules. This study aims to build classification models of tembang macapat using a simple yet powerful Naïve Bayes classifier. The Naive Bayes can generate high-accuracy values from sparse data. This study modifies the concept of Guru Lagu by retrieving the last vowel of each line. At the same time, guru wilangan’s guidelines are amended by counting the number of all characters (Model 2) rather than calculat
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Boškoski, Pavle, Matija Perne, Martina Rameša, and Biljana Mileva Boshkoska. "Variational Bayes survival analysis for unemployment modelling." Knowledge-Based Systems 229 (October 2021): 107335. http://dx.doi.org/10.1016/j.knosys.2021.107335.

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Durante, D., and D. B. Dunson. "Nonparametric Bayes dynamic modelling of relational data." Biometrika 101, no. 4 (2014): 883–98. http://dx.doi.org/10.1093/biomet/asu040.

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Shimoda, Yuko, and George B. Arhonditsis. "Integrating hierarchical Bayes with phosphorus loading modelling." Ecological Informatics 29 (September 2015): 77–91. http://dx.doi.org/10.1016/j.ecoinf.2015.07.005.

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Maes, M. A., M. R. Dann, and A. K. Midtgaard. "Spatial Hazard Rate Modelling Using Hierarchical Bayes Methods." Australian Journal of Structural Engineering 9, no. 1 (2009): 45–54. http://dx.doi.org/10.1080/13287982.2009.11465009.

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Lange, Nicholas. "Graphs and stochastic relaxation for hierarchical bayes modelling." Statistics in Medicine 11, no. 14-15 (1992): 2001–16. http://dx.doi.org/10.1002/sim.4780111417.

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Haidar, Ahmad, Elizabeth Potocka, Benoit Boulet, A. Margot Umpleby, and Roman Hovorka. "Estimating postprandial glucose fluxes using hierarchical Bayes modelling." Computer Methods and Programs in Biomedicine 108, no. 1 (2012): 102–12. http://dx.doi.org/10.1016/j.cmpb.2012.01.010.

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Dissertations / Theses on the topic "Bayes Modelling"

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Dowman, Mike. "Colour Terms, Syntax and Bayes Modelling Acquisition and Evolution." Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/558.

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This thesis investigates language acquisition and evolution, using the methodologies of Bayesian inference and expression-induction modelling, making specific reference to colour term typology, and syntactic acquisition. In order to test Berlin and Kay's (1969) hypothesis that the typological patterns observed in basic colour term systems are produced by a process of cultural evolution under the influence of universal aspects of human neurophysiology, an expression-induction model was created. Ten artificial people were simulated, each of which was a computational agent. These people could lea
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Dowman, Mike. "Colour Terms, Syntax and Bayes Modelling Acquisition and Evolution." University of Sydney. Information Technologies, 2004. http://hdl.handle.net/2123/558.

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This thesis investigates language acquisition and evolution, using the methodologies of Bayesian inference and expression-induction modelling, making specific reference to colour term typology, and syntactic acquisition. In order to test Berlin and Kay�s (1969) hypothesis that the typological patterns observed in basic colour term systems are produced by a process of cultural evolution under the influence of universal aspects of human neurophysiology, an expression-induction model was created. Ten artificial people were simulated, each of which was a computational agent. These people could lea
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Revie, Matthew. "Evaluation of bayes linear modelling to support reliability assessment during procurement." Thesis, University of Strathclyde, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487866.

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A major task facing a number of different procuring agencies is the assessment of the developmental reliability of a product as contractors incrementally provide information. These agencies would like to use structured quantitative methodologies, as opposed to unstructured assessment currently adopted, to evaluate reliability throughout the life of a development programme as additional information becomes available. Due to resource constraints, any developed methodology must be cost and time efficient. This research attempts to develop a methodology for customers that is capable of assessing t
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Starobinskaya, Irina. "Structural modelling of operational risk in financial institutions : application of Bayesian networks and balanced scorecards to IT infrastructure risk modelling /." Berlin : Pro Business, 2008. http://d-nb.info/991725328/04.

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Steinberg, Daniel. "An Unsupervised Approach to Modelling Visual Data." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9415.

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For very large visual datasets, producing expert ground-truth data for training supervised algorithms can represent a substantial human effort. In these situations there is scope for the use of unsupervised approaches that can model collections of images and automatically summarise their content. The primary motivation for this thesis comes from the problem of labelling large visual datasets of the seafloor obtained by an Autonomous Underwater Vehicle (AUV) for ecological analysis. It is expensive to label this data, as taxonomical experts for the specific region are required, whereas automati
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Jones, Matthew James. "Bayes linear strategies for the approximation of complex numerical calculations arising in sequential design and physical modelling problems." Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12529/.

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In a range of different scientific fields, deterministic calculations for which there is no analytic solution must be approximated numerically. The use of numerical approximations is necessary, but introduces a discrepancy between the true solution and the numerical solution that is generated. Bayesian methods are used to account for uncertainties introduced through numerical approximation in a variety of situations. To solve problems in Bayesian sequential experimental design, a sequence of complex integration and optimisation steps must be performed; for most problems, these calculations hav
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Salge, Christoph. "Information theoretic models of social interaction." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/13887.

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This dissertation demonstrates, in a non-semantic information-theoretic framework, how the principles of 'maximisation of relevant information' and 'information parsimony' can guide the adaptation of an agent towards agent-agent interaction. Central to this thesis is the concept of digested information; I argue that an agent is intrinsically motivated to a.) process the relevant information in its environment and b.) display this information in its own actions. From the perspective of similar agents, who require similar information, this differentiates other agents from the rest of the environ
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Baker, Peter John. "Applied Bayesian modelling in genetics." Thesis, Queensland University of Technology, 2001.

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Jaradat, Shatha. "OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177535.

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Providing high quality of topics inference in today's large and dynamic corpora, such as Twitter, is a challenging task. This is especially challenging taking into account that the content in this environment contains short texts and many abbreviations. This project proposes an improvement of a popular online topics modelling algorithm for Latent Dirichlet Allocation (LDA), by incorporating supervision to make it suitable for Twitter context. This improvement is motivated by the need for a single algorithm that achieves both objectives: analyzing huge amounts of documents, including new docume
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Wang, David I.-Chung. "Speaker diarization : "who spoke when"." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/59624/1/David_Wang_Thesis.pdf.

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Speaker diarization is the process of annotating an input audio with information that attributes temporal regions of the audio signal to their respective sources, which may include both speech and non-speech events. For speech regions, the diarization system also specifies the locations of speaker boundaries and assign relative speaker labels to each homogeneous segment of speech. In short, speaker diarization systems effectively answer the question of ‘who spoke when’. There are several important applications for speaker diarization technology, such as facilitating speaker indexing systems
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Books on the topic "Bayes Modelling"

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2010), European-Japanese Conference on Information Modelling and Knowledge Bases (20th. Information modelling and knowledge bases XXII. Ios Press, 2011.

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European-Japanese Conference on Information Modelling and Knowledge Bases (18th 2008). Information modelling and knowledge bases XX. IOS Press, 2009.

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Bech, Niels. Modelling of surface combustion straw bales. Risø National Laboratory, 1994.

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Hannu, Jaakkola, Kiyoki Yasushi, and Tokuda Takahiro, eds. Information modelling and knowledge bases XIX. IOS Press, 2008.

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Tallinn, Estonia) 2005 European-Japanese Conference on Information Modelling and Knowledge Bases (15th. Proceedings of the 15th European-Japanese conference on information modelling and knowledge bases: May 16-19, 2005, Tallinn, Estonia. Tallinn University of Technology, Dept. of Informatics, 2005.

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Jaworski, Barbara, Josef Rebenda, Reinhard Hochmuth, et al. Inquiry in University Mathematics Teaching and Learning. Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.m210-9983-2021.

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The book presents developmental outcomes from an EU Erasmus+ project involving eight partner universities in seven countries in Europe. Its focus is the development of mathematics teaching and learning at university level to enhance the learning of mathematics by university students. Its theoretical focus is inquiry-based teaching and learning. It bases all activity on a three-layer model of inquiry: (1) Inquiry in mathematics and in the learning of mathematics in lecture, tutorial, seminar or workshop, involving students and teachers; (2) Inquiry in mathematics teaching involving teachers exp
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International Symposium on Building Economics (4th 1987 Danish Building Research Institute, Copenhagen). Building economics: CIB proceedings of the fourth International Symposium on Building Economics. : Cost modelling techniques, cost/pricedata bases, design methods, optimization and other integrated automatic processes, buildability. Danish Building Research Institute, 1987.

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Lee, Sik-Yum. Structural Equation Modelling: A Bayesian Approach (Wiley Series in Probability and Statistics). Wiley, 2007.

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Yu, Angela J. Bayesian Models of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.025.

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Traditionally, attentional selection has been thought of as arising naturally from resource limitations, with a focus on what might be the most apt metaphor, e.g. whether it is a ‘bottleneck’ or ‘spotlight’. However, these simple metaphors cannot account for the specificity, flexibility, and heterogeneity of the way attentional selection manifests itself in different behavioural contexts. A recent body of theoretical work has taken a different approach, focusing on the computational needs of selective processing, relative to environmental constraints and behavioural goals. They typically adopt
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Endrjukaite, T., A. Dudko, and H. Jaakkola. Information Modelling and Knowledge Bases XXX. IOS Press, Incorporated, 2019.

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Book chapters on the topic "Bayes Modelling"

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Berger, James O., and Luis R. Pericchi. "On The Justification of Default and Intrinsic Bayes Factors." In Modelling and Prediction Honoring Seymour Geisser. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2414-3_17.

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McCulloch, Robert E., and Peter E. Rossi. "Bayes Factors for Testing the Equality of Covariance Matrix Eigenvalues." In Modelling and Prediction Honoring Seymour Geisser. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2414-3_19.

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Bozza, Silvia, Franco Taroni, and Alex Biedermann. "Bayes Factor for Evaluative Purposes." In Bayes Factors for Forensic Decision Analyses with R. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09839-0_3.

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AbstractThis chapter presents and discusses the use of the Bayes factor for the evaluation of scientific evidence in the form of discrete, continuous and continuous multivariate data. The latter may present a complex dependence structure that will be handled by means of multilevel models. The notion of “evaluative purpose” is understood here as referring to situations in which material of known source (control material) and evidential material of unknown source (recovered or questioned material) is collected and analyzed. The purpose is to evaluate the effect of the output of the examinations, in the form of scores or measurements of features, on the odds in favor of a proposition put forward by the prosecution, compared to an alternative proposition advanced by the defence. A discussion is included of the sensitivity of the described Bayes factor procedures to changes in the features of recovered and control materials, the available background information, as well as to choices made during probabilistic modelling and prior elicitation.
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Schmidbauer, Harald, and Angi Rösch. "A Subjective Bayes Approach to the Queueing System M/E k /c." In Modelling and Decisions in Economics. Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-662-12519-9_9.

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Kostyuchenko, Yuriy V., Maxim Yuschenko, Ivan Kopachevsky, and Igor Artemenko. "Bayes Decision-Making Systems for Quantitative Assessment of Hydrological Climate-Related Risk using Satellite Data." In Mathematical Modelling of System Resilience. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338819-5.

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Stoliarova, Valerie, Gulnara Sadykova, Anna Olina, and Alexander Tulupyev. "The Non–parametric Bayes Belief Network for the Physical Activity Parameters Modelling: The Pilot Study." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87178-9_23.

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Viviani, P. "On Modelling." In Neural Bases of Motor Behaviour. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-017-2403-6_12.

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Barry, Phillip J., and Ronald N. Goldman. "Unimodal Properties of Generalized Ball Bases." In Geometric Modelling. Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-7584-2_2.

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Warren, J., and H. Weimer. "Radial Basis Functions, Discrete Differences, and Bell-Shaped Bases." In Geometric Modelling. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6270-5_20.

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Ilievski, D., and E. T. White. "Modelling Bayer Precipitation with Agglomeration." In Essential Readings in Light Metals. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48176-0_70.

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Conference papers on the topic "Bayes Modelling"

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Carlsson, Christer, Markku Heikkila, and Jozsef Mezei. "Possibilistic Bayes modelling for predictive analytics." In 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI). IEEE, 2014. http://dx.doi.org/10.1109/cinti.2014.7028671.

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Kim, Sung-Ho, and Namgil Lee. "A Bayes Shrinkage Estimation Method for Vector Autoregressive Models." In Modelling, Identification and Control. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.769-065.

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MORAES, R. M., and L. S. MACHADO. "A FUZZY EXPONENTIAL NAIVE BAYES CLASSIFIER." In Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813146976_0035.

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Surawit, Apinya, Chukiat Viwatwongkasem, Pichitpong Soontornpipit, Prasong Kitidamrongsuk, Piangchan Rojanavipart, and Siam Sae-tang. "Empirical Bayes Hierarchical Modelling and Mapping of HIV/AIDS." In 2019 7th International Electrical Engineering Congress (iEECON). IEEE, 2019. http://dx.doi.org/10.1109/ieecon45304.2019.8938851.

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Priyanga, P., and N. C. Naveen. "Web Analytics Support System for Prediction of Heart Disease Using Naive Bayes Weighted Approach (NBwa)." In 2017 Asia Modelling Symposium (AMS). 11th International Conference on Mathematical Modelling & Computer Simulation. IEEE, 2017. http://dx.doi.org/10.1109/ams.2017.12.

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Aung, Swe Swe, and Thinn Thu Naing. "Naïve Bayes Classifier Based Traffic Prediction System on Cloud Infrastructure." In 2015 6th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2015. http://dx.doi.org/10.1109/isms.2015.45.

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"A Naive Bayes classifier for modeling distributions of the common reed in southern Finland." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.h3.altartouri.

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Fan, Jinxuan. "Predicting GRE score range using TOEFL score based on Bayes theorem." In 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), edited by Chi-Hua Chen, Xuexia Ye, and Hari Mohan Srivastava. SPIE, 2022. http://dx.doi.org/10.1117/12.2639353.

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Guo, Yuanyuan, and Xudong Zhang. "Radar Signal Classification Based on Cascade of STFT, PCA and Naïve Bayes." In 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2016. http://dx.doi.org/10.1109/isms.2016.48.

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Rajadhyaksha, Nishant. "Modelling Veracity of Football Player Trade Rumours on Twitter Using Naive Bayes Algorithm." In 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV). IEEE, 2021. http://dx.doi.org/10.1109/aimv53313.2021.9670932.

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