Literatura académica sobre el tema "Bayesian classification"
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Artículos de revistas sobre el tema "Bayesian classification"
Yazdi, Hadi Sadoghi, Mehri Sadoghi Yazdi y Abedin Vahedian. "Fuzzy Bayesian Classification of LR Fuzzy Numbers". International Journal of Engineering and Technology 1, n.º 5 (2009): 415–23. http://dx.doi.org/10.7763/ijet.2009.v1.78.
Texto completoWang, ShuangCheng, GuangLin Xu y RuiJie Du. "Restricted Bayesian classification networks". Science China Information Sciences 56, n.º 7 (9 de enero de 2013): 1–15. http://dx.doi.org/10.1007/s11432-012-4729-x.
Texto completoBerrett, Candace y Catherine A. Calder. "Bayesian spatial binary classification". Spatial Statistics 16 (mayo de 2016): 72–102. http://dx.doi.org/10.1016/j.spasta.2016.01.004.
Texto completoDojer, Norbert, Paweł Bednarz, Agnieszka Podsiadło y Bartek Wilczyński. "BNFinder2: Faster Bayesian network learning and Bayesian classification". Bioinformatics 29, n.º 16 (1 de julio de 2013): 2068–70. http://dx.doi.org/10.1093/bioinformatics/btt323.
Texto completoReguzzoni, M., F. Sansò, G. Venuti y P. A. Brivio. "Bayesian classification by data augmentation". International Journal of Remote Sensing 24, n.º 20 (enero de 2003): 3961–81. http://dx.doi.org/10.1080/0143116031000103817.
Texto completoWang, Xiaohui, Shubhankar Ray y Bani K. Mallick. "Bayesian Curve Classification Using Wavelets". Journal of the American Statistical Association 102, n.º 479 (septiembre de 2007): 962–73. http://dx.doi.org/10.1198/016214507000000455.
Texto completoWilliams, C. K. I. y D. Barber. "Bayesian classification with Gaussian processes". IEEE Transactions on Pattern Analysis and Machine Intelligence 20, n.º 12 (1998): 1342–51. http://dx.doi.org/10.1109/34.735807.
Texto completoDellaportas, Petros. "Bayesian classification of Neolithic tools". Journal of the Royal Statistical Society: Series C (Applied Statistics) 47, n.º 2 (28 de junio de 2008): 279–97. http://dx.doi.org/10.1111/1467-9876.00112.
Texto completoMiguel Hernández-Lobato, Jose, Daniel Hernández-Lobato y Alberto Suárez. "Network-based sparse Bayesian classification". Pattern Recognition 44, n.º 4 (abril de 2011): 886–900. http://dx.doi.org/10.1016/j.patcog.2010.10.016.
Texto completoHunter, L. y D. J. States. "Bayesian classification of protein structure". IEEE Expert 7, n.º 4 (agosto de 1992): 67–75. http://dx.doi.org/10.1109/64.153466.
Texto completoTesis sobre el tema "Bayesian classification"
Nappa, Dario. "Bayesian classification using Bayesian additive and regression trees". Ann Arbor, Mich. : ProQuest, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3336814.
Texto completoTitle from PDF title page (viewed Mar. 16, 2009). Source: Dissertation Abstracts International, Volume: 69-12, Section: B, page: . Adviser: Xinlei Wang. Includes bibliographical references.
Haywood, Andries Stefan. "Bayesian object classification in nanoimages". Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/63790.
Texto completoMini Dissertaion (MSc)--University of Pretoria, 2017.
NRF (under CSUR grant 90315)
CSIR
Statistics
MSc
Unrestricted
Anderson, Michael P. "Bayesian classification of DNA barcodes". Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/2247.
Texto completoGibbs, M. N. "Bayesian Gaussian processes for regression and classification". Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599379.
Texto completoDe, Lance Holmes Christopher Charles. "Bayesian method for nonlinear classification and regression". Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394926.
Texto completoChan, Kwokleung. "Bayesian learning in classification and density estimation /". Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC IP addresses, 2002. http://wwwlib.umi.com/cr/ucsd/fullcit?p3061619.
Texto completoWang, Xiaohui. "Bayesian classification and survival analysis with curve predictors". [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1205.
Texto completoLoza, Reyes Elisa. "Classification of phylogenetic data via Bayesian mixture modelling". Thesis, University of Bath, 2010. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519916.
Texto completoCooley, Craig Allen. "Bayesian and nonparametric models in the classification problem /". The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487935573773741.
Texto completoSchmidt, Aurora Clare 1981. "Dynamic Bayesian networks for the classification of spinning discs". Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/16686.
Texto completoIncludes bibliographical references (p. 87-89).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
This thesis considers issues for the application of particle filters to a class of nonlinear filtering and classification problems. Specifically, we study a prototype system of spinning discs. The system combines linear dynamics describing rotation with a nonlinear observation model determined by the disc pattern, which is parameterized by angle. A consequence of the nonlinear observation model is that the posterior state distribution of angle and spin-rate is multi-modal. This detail motivates the use of particle filtering. Practical issues that we consider when using particle filters are sample depletion and sample degeneracy, both of which lead to poor representations of the state distributions. Variance based resampling and regularization are common methods to mitigate sampling issues in particle filtering. We investigate these methods empirically for our prototype problem. Specific parameters of interest relating to these methods are the number of particles used to approximate the posterior distribution, quantitative methods for deciding when to resample, choice of regularization variance, the impact of measurement noise on all of these, and performance over time. A common issue, leading to inaccurate sample-based representations, is the case of relatively low measurement noise combined with an insufficient number of particles. Our empirical results show that for relatively smooth patterns (e.g. linear, cosine) particle filters were less susceptible to sampling issues than for patterns with higher frequency content. The goal of our experiments is to quantify the nature of these differences.
by Aurora Clare Schmidt.
M.Eng.
Libros sobre el tema "Bayesian classification"
T, Denison David G., ed. Bayesian methods for nonlinear classification and regression. Chichester, England: Wiley, 2002.
Buscar texto completoPAC-Bayesian supervised classification: The thermodynamics of statistical learning. Beachwood, Ohio: Institute of Mathematical Statistics, 2007.
Buscar texto completoFrey, Brendan J. Bayesian networks for pattern classification, data compression, and channel coding. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1997.
Buscar texto completoNeal, Radford M. Monte Carlo implementation of Gaussian process models for Bayesian regression and classification. Toronto: University of Toronto, 1997.
Buscar texto completoPress, S. James. Bayesian statistics: Principles, models, and applications. New York: Wiley, 1989.
Buscar texto completoWang, Jun. A Bayesian classifier based on a deterministic annealing neural network for aircraft fault classification. Wright-Patterson AFB, OH: Human Resources Directorate, Logistics Research Division, U.S. Air Force Armstrong Laboratory, 1997.
Buscar texto completoAbkar, Ali Akbar. Likelihood-based segmentation and classification of remotely sensed images: A Bayesian optimization approach for combining RS and GIS. Enschede, The Netherlands: International Institute for Aerospace Survey and Earth Sciences, 1999.
Buscar texto completoJohn, Stutz, Cheeseman Peter y Ames Research Center. Artificial Intelligence Research Branch., eds. Bayesian classification theory. Moffett Field, CA: NASA Ames Research Center, Artificial Intelligence Research Branch, 1991.
Buscar texto completoDalton, Lori A. y Edward R. Dougherty. Optimal Bayesian Classification. SPIE, 2020.
Buscar texto completoDalton, Lori A. y Edward R. Dougherty. Optimal Bayesian Classification. SPIE, 2020. http://dx.doi.org/10.1117/3.2540669.
Texto completoCapítulos de libros sobre el tema "Bayesian classification"
Zhang, Dengsheng. "Bayesian Classification". En Texts in Computer Science, 161–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17989-2_7.
Texto completoHsu, Wynne. "Bayesian Classification". En Encyclopedia of Database Systems, 1–5. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_556-2.
Texto completoHsu, Wynne. "Bayesian Classification". En Encyclopedia of Database Systems, 210–14. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_556.
Texto completoZhang, Dengsheng. "Bayesian Classification". En Texts in Computer Science, 183–200. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69251-3_7.
Texto completoHsu, Wynne. "Bayesian Classification". En Encyclopedia of Database Systems, 263–67. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_556.
Texto completoAlmond, Russell G. y Juan-Diego Zapata-Rivera. "Bayesian Networks". En Handbook of Diagnostic Classification Models, 81–106. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05584-4_4.
Texto completoSebastiani, Paola y Marco Ramoni. "Robust Bayesian classification". En COMPSTAT, 445–50. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-57678-2_61.
Texto completoWinkler, Gerhard. "Bayesian Texture Classification". En Image Analysis, Random Fields and Markov Chain Monte Carlo Methods, 243–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55760-6_17.
Texto completoKoch, Karl-Rudolf. "Classification". En Bayesian Inference with Geodetic Applications, 135–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0048714.
Texto completoBernardo, José M. "Bayesian Linear Probabilistic Classification". En Statistical Decision Theory and Related Topics IV, 151–62. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8768-8_19.
Texto completoActas de conferencias sobre el tema "Bayesian classification"
Rodríguez-Teja, Federico, Carlos Martinez-Cagnazzo y Eduardo Grampín Castro. "Bayesian classification". En the 6th International Wireless Communications and Mobile Computing Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1815396.1815572.
Texto completoChakrabarty, Dalia y Coryn A. L. Bailer-Jones. "A Novel Bayesian Mass Determination Algorithm". En CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”. AIP, 2008. http://dx.doi.org/10.1063/1.3059070.
Texto completoRichards, Gordon T. y Coryn A. L. Bailer-Jones. "Bayesian Quasar Selection and the Quasar Luminosity Function". En CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”. AIP, 2008. http://dx.doi.org/10.1063/1.3059053.
Texto completoPiro, Paolo, Richard Nock, Frank Nielsen y Michel Barlaud. "Boosting Bayesian MAP Classification". En 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.167.
Texto completoKeren, Carmit, Miriam Zacksenhouse y Yakov Ben-Haim. "Info Gap Bayesian Classification". En ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59188.
Texto completo"LEUKOCYTES CLASSIFICATION USING BAYESIAN NETWORKS". En 3rd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003197706810684.
Texto completoSonneland, L., P. Tennebo, T. Gehrmann y O. Yrke. "3D Model-based Bayesian classification". En 56th EAEG Meeting. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201410086.
Texto completoMukhopadhyay, Subhadeep, Faming Liang, Paul M. Goggans y Chun-Yong Chan. "Bayesian Analysis of High Dimensional Classification". En BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: The 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2009. http://dx.doi.org/10.1063/1.3275621.
Texto completoJi Won Yoon, Stephen J. Roberts, Matt Dyson y John Q. Gan. "Sequential Bayesian estimation for adaptive classification". En 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008). IEEE, 2008. http://dx.doi.org/10.1109/mfi.2008.4648010.
Texto completoBulo, Samuel Rota y Peter Kontschieder. "Online Learning with Bayesian Classification Trees". En 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016. http://dx.doi.org/10.1109/cvpr.2016.432.
Texto completoInformes sobre el tema "Bayesian classification"
Zhan, Zhijun, LiWu Chang y Stan Matwin. Privacy-Preserving Naive Bayesian Classification. Fort Belvoir, VA: Defense Technical Information Center, enero de 2004. http://dx.doi.org/10.21236/ada464290.
Texto completoBarker, Kash, Theodore B. Trafalis y Cameron A. MacKenzie. Bayesian Kernel Methods for Non-Gaussian Distributions: Binary and Multi-class Classification Problems. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2013. http://dx.doi.org/10.21236/ada595533.
Texto completoYeung, Ka Y., Roger E. Bumgarner y Adrian E. Raftery. Bayesian Model Averaging: Development of an Improved Multi-Class, Gene Selection and Classification Tool for Microarray Data. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2004. http://dx.doi.org/10.21236/ada454826.
Texto completoTian, Cong, Jianlong Shu, Wenhui Shao, Zhengxin Zhou, Huayang Guo y Jingang Wang. The efficacy and safety of IL Inhibitors, TNF-α Inhibitors, and JAK Inhibitor on ankylosing spondylitis: A Bayesian network meta-analysis of a “randomized, double-blind, placebo-controlled” trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, septiembre de 2022. http://dx.doi.org/10.37766/inplasy2022.9.0117.
Texto completoKingston, A. W., A. Mort, C. Deblonde y O H Ardakani. Hydrogen sulfide (H2S) distribution in the Triassic Montney Formation of the Western Canadian Sedimentary Basin. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329797.
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