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1دورية أكاديمية
مصطلحات موضوعية: ddc:519, frailty models, Cox model, Fisher consistency
العلاقة: gbv-ppn:1820784096; Journal: Statistics in Transition new series (SiTns); Volume: 23; Year: 2022; Issue: 2; Pages: 185-196; Warsaw: Sciendo; http://hdl.handle.net/10419/266314Test
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2رسالة جامعية
مرشدي الرسالة: UAM. Departamento de Ingeniería Informática, Aprendizaje Automático (ING EPS-001)
المصدر: Electronic Journal of Statistics 9.2 (2015): 2255-2292
2255
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2292
9مصطلحات موضوعية: Bayes consistency, Classification calibration, Fisher consistency, Hinge loss functions, Multiclass classification, Support vector machine, Informática
الوصول الحر: http://hdl.handle.net/10486/674187Test
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3دورية أكاديمية
المؤلفون: Tadeusz Bednarski, Magdalena Skolimowska-Kulig
المصدر: Acta Universitatis Lodziensis. Folia Oeconomica, Vol 5, Iss 338, Pp 133-142 (2018)
مصطلحات موضوعية: frailty models, maximum likelihood estimation, Fisher consistency, Marketing. Distribution of products, HF5410-5417.5, Finance, HG1-9999
وصف الملف: electronic resource
العلاقة: https://czasopisma.uni.lodz.pl/foe/article/view/2645Test; https://doaj.org/toc/0208-6018Test; https://doaj.org/toc/2353-7663Test
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4دورية أكاديمية
المؤلفون: Fang, Zhide, Wiens, Douglas P.
المصدر: Journal of the American Statistical Association, 2000 Sep 01. 95(451), 807-818.
الوصول الحر: https://www.jstor.org/stable/2669464Test
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5دورية أكاديمية
مصطلحات موضوعية: Asymptotics, classification, Fisher consistency, kernel learning, MLR, simplex coding scheme
العلاقة: http://www.scopus.com/inward/record.url?scp=85146747354&partnerID=8YFLogxKTest; Statistica Sinica--1017-0405--bb40994b-93d0-4e19-9e7a-a606111a2d01; http://resolver.tudelft.nl/uuid:7a749410-3d5d-4619-9f4b-94d57616fe6dTest; https://doi.org/10.5705/ss.202021.0082Test
الإتاحة: https://doi.org/10.5705/ss.202021.0082Test
http://resolver.tudelft.nl/uuid:7a749410-3d5d-4619-9f4b-94d57616fe6dTest -
6دورية أكاديمية
المؤلفون: Fu, Sheng (author), Chen, P. (author), Ye, Zhisheng (author)
مصطلحات موضوعية: Category probability, fisher consistency, kernel learning, multicategory classification, universal consistency
العلاقة: http://www.scopus.com/inward/record.url?scp=85142796751&partnerID=8YFLogxKTest; IEEE Transactions on Information Theory--0018-9448--9d09450a-0f8c-41b1-9d96-e8a0f6493cb9; http://resolver.tudelft.nl/uuid:5d1401ab-b41d-4433-9f9d-16ab6bf9515bTest; https://doi.org/10.1109/TIT.2022.3222266Test
الإتاحة: https://doi.org/10.1109/TIT.2022.3222266Test
http://resolver.tudelft.nl/uuid:5d1401ab-b41d-4433-9f9d-16ab6bf9515bTest -
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المؤلفون: Eran Kaufman, Lee-Ad Gottlieb, Aryeh Kontorovich
المصدر: Annals of Mathematics and Artificial Intelligence. 89:1215-1235
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Mathematical optimization, Artificial neural network, Computer science, Generalization, Applied Mathematics, Fisher consistency, Boundary (topology), Machine Learning (stat.ML), Machine Learning (cs.LG), Multiclass classification, Statistics - Machine Learning, Artificial Intelligence, Margin (machine learning), Kernel (statistics), Decision boundary
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::488694e72d816f3ac3aaaad4fe1184feTest
https://doi.org/10.1007/s10472-021-09776-wTest -
8دورية أكاديمية
المؤلفون: Bednarski, Tadeusz, Skolimowska-Kulig, Magdalena
المصدر: Acta Universitatis Lodziensis. Folia Oeconomica; Vol. 5 No. 338 (2018); 133-142 ; Acta Universitatis Lodziensis. Folia Oeconomica; Tom 5 Nr 338 (2018); 133-142 ; 2353-7663 ; 0208-6018
مصطلحات موضوعية: frailty models, maximum likelihood estimation, Fisher consistency, C13, C18, modele frailty, estymacja największej wiarygodności, Fisherowska zgodność
وصف الملف: application/pdf
العلاقة: https://czasopisma.uni.lodz.pl/foe/article/view/2645/pdfTest; https://czasopisma.uni.lodz.pl/foe/article/view/2645Test
الإتاحة: https://doi.org/10.18778/0208-6018.338.08Test
https://czasopisma.uni.lodz.pl/foe/article/view/2645Test -
9دورية أكاديمية
المؤلفون: Pedregosa, Fabian, Bach, Francis, Gramfort, Alexandre
المساهمون: Département d'informatique - ENS Paris (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), Statistical Machine Learning and Parsimony (SIERRA), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Institut des Sciences du Vivant Frédéric JOLIOT (JOLIOT), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut des Sciences du Vivant Frédéric JOLIOT (JOLIOT), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ANR-10-JCJC-1408,BrainPedia,Inférence d'un modèle du cerveau à partir de données de neuroimagerie fonctionnelle issues de plusieurs protocoles.(2010), ANR-10-BLAN-0126,IRMGroup,Représentations invariantes par groupements multiresolutions(2010)
المصدر: ISSN: 1532-4435.
مصطلحات موضوعية: Fisher consistency, ordinal regression, calibration, surrogate loss, excess risk bound, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/1408.2327; hal-01054942; https://inria.hal.science/hal-01054942Test; https://inria.hal.science/hal-01054942v4/documentTest; https://inria.hal.science/hal-01054942v4/file/15-495.pdfTest; https://inria.hal.science/hal-01054942v4/file/counterexample.pdfTest; https://inria.hal.science/hal-01054942v4/file/scores.pdfTest; ARXIV: 1408.2327
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المصدر: Journal of Nonparametric Statistics. 32:915-939
مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Estimation, Location parameter, 05 social sciences, Estimator, Fisher consistency, Regression analysis, Missing data, 01 natural sciences, Methodology (stat.ME), 010104 statistics & probability, 0502 economics and business, Statistics, Covariate, General regression, Statistics::Methodology, 0101 mathematics, Statistics, Probability and Uncertainty, Statistics - Methodology, 050205 econometrics, Mathematics
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e10b198fbdcef82d37ca329b3e661908Test
https://doi.org/10.1080/10485252.2020.1834108Test
النص الكامل