المؤلفون: Budel, G.J.A. (author), Frasincar, Flavius (author), Boekestijn, David (author)

مصطلحات موضوعية: Graphical models, Mixture hidden Markov models, Probability smoothing, Sequence clustering, Sequence data mining

العلاقة: http://www.scopus.com/inward/record.url?scp=85186189600&partnerID=8YFLogxKTest; International Journal of Machine Learning and Cybernetics--1868-8071--8919bdef-5c49-430e-acfc-2e642dadc378; http://resolver.tudelft.nl/uuid:ed0e2cc7-4d89-4a5a-9783-f95a3bf9abbaTest; https://doi.org/10.1007/s13042-024-02102-wTest

الإتاحة: https://doi.org/10.1007/s13042-024-02102-wTest
http://resolver.tudelft.nl/uuid:ed0e2cc7-4d89-4a5a-9783-f95a3bf9abbaTest

المؤلفون: Zhang, He, Petitjean, François, Buntine, Wray

المساهمون: Lauw, Hady W., Wong, Raymond Chi-Wing, Ntoulas, Alexandros

المصدر: Zhang , H , Petitjean , F & Buntine , W 2020 , Hierarchical Gradient Smoothing for probability estimation trees . in H W Lauw , R C-W Wong & A Ntoulas (eds) , Advances in Knowledge Discovery and Data Mining : 24th Pacific-Asia Conference, PAKDD 2020 Singapore, May 11–14, 2020 Proceedings, Part I . Lecture Notes in Computer Science , vol. 12084 , Springer , Cham Switzerland , pp. 222-234 , Pacific-Asia Conference on Knowledge Discovery and Data Mining 2020 , Singapore , Singapore , 11/05/20 . https://doi.org/10.1007/978-3-030-47426-3_18Test

مصطلحات موضوعية: Class probability estimation, Hierarchical Dirichlet Process, Hierarchical probability smoothing, Probability estimation trees

وصف الملف: application/pdf

الإتاحة: https://doi.org/10.1007/978-3-030-47426-3_18Test
https://research.monash.edu/en/publications/db84a95c-38dc-4249-938c-0d57b35fd58dTest
https://researchmgt.monash.edu/ws/files/314347761/311933365_oa.pdfTest
http://www.scopus.com/inward/record.url?scp=85085734252&partnerID=8YFLogxKTest

المؤلفون: Кулай, А., Леднов, Д., Мельников, С.

مصطلحات موضوعية: МЕТОДЫ ИНДЕТИФИКАЦИИ ЯЗЫКА,МОДЕЛИ НЕБОЛЬШИХ ПОРЯДКОВ,МЕТОДЫ СГЛАЖИВАНИЯ ВЕРОЯТНОСТЕЙ,ТЕОРИЯ АВТОМАТОВ,LANGUAGE IDENTIFICATION METHODS,SMALL ORDER MODELS,PROBABILITY SMOOTHING METHODS,AUTOMATA THEORY

وصف الملف: text/html

الإتاحة: http://cyberleninka.ru/article/n/o-statisticheskih-metodah-identifikatsii-yazyka-iskazhennyh-tekstovyh-i-rechevyh-soobscheniyTest
http://cyberleninka.ru/article_covers/13333015.pngTest

المؤلفون: HE ZHANG

مصطلحات موضوعية: Knowledge representation and reasoning, Pattern recognition, Data mining and knowledge discovery, Class probability estimation, Classification, Probability smoothing, Hierarchical probability smoothing, Hierarchical Dirichlet Process, Ensemble learning, Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining

العلاقة: https://figshare.com/articles/thesis/Probability_Estimation_for_Bayesian_Network_Classifiers_and_Decision_Trees/12645449Test

الإتاحة: https://doi.org/10.26180/5f0bae080a864Test
https://figshare.com/articles/thesis/Probability_Estimation_for_Bayesian_Network_Classifiers_and_Decision_Trees/12645449Test

المؤلفون: Djoerd Hiemstra, Cross Reference

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://eprints.eemcs.utwente.nl/23161/01/n-grams.pdfTest.

مصطلحات موضوعية: LANGUAGE MODELS, PROBABILITY SMOOTHING

وصف الملف: application/pdf

العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.394.9284Test; http://eprints.eemcs.utwente.nl/23161/01/n-grams.pdfTest

الإتاحة: http://eprints.eemcs.utwente.nl/23161/01/n-grams.pdfTest

المؤلفون: 簡榮俊, Chien, Jung-Chun

المساهمون: 吳俊霖, Jiunn-Lin Wu, 中興大學, 林基源, Chi-Yuan Lin, 王周珍

مصطلحات موضوعية: Histogram Equalization, 直方圖等化, Contrast Enhancement, Probability Smoothing, Normalized Power Law Function, 對比增強, 機率平滑技術, 規範化冪次函數

العلاقة: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0108201020154300Test; U0005-0108201020154300; http://hdl.handle.net/11455/19667Test

الإتاحة: http://hdl.handle.net/11455/19667Test

المصدر: Proceedings of IEEE Conference on Decision and Control 2008

مصطلحات الفهرس: Keywords: Detection; Filtering; Gaussian-mixture distribution; Martingales; Reference probability; Smoothing; Estimation; Markov processes; Mixtures; Probability distributions; Radon; State estimation; Theorem proving; Trellis codes; Viterbi algorithm; Probability Detection; Filtering; Gaussian-mixture distribution; Martingales; Reference probability; Smoothing; Viterbi algorithms, Conference paper

URL: http://hdl.handle.net/1885/24670Test
IEEE Conference on Decision and Control 2008