المؤلفون: Merlevède, Florence, author, Peligrad, Magda, author, Utev, Sergey, author

المصدر: Functional Gaussian Approximation for Dependent Structures, 2019.

الإتاحة: https://doi.org/10.1093/oso/9780198826941.003.0016Test

المؤلفون: Nan, Bin, Kalbfleisch, John D., Yu, Menggang

المصدر: The Annals of Statistics, 2009 Oct 01. 37(5A), 2351-2376.

الوصول الحر: https://www.jstor.org/stable/30243708Test

المؤلفون: Joseph Rynkiewicz

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://hal.archives-ouvertes.fr/docs/00/25/78/39/PDF/extended.pdfTest.

مصطلحات موضوعية: asymptotic convergence, consistency, Self Organizing Map, empirical processes, Glivenko-Cantelli class, uniform law of large numbers, general neighborhood function

وصف الملف: application/pdf

العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.4504Test; http://hal.archives-ouvertes.fr/docs/00/25/78/39/PDF/extended.pdfTest

الإتاحة: http://hal.archives-ouvertes.fr/docs/00/25/78/39/PDF/extended.pdfTest

المؤلفون: Rynkiewicz, Joseph

المساهمون: Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Statistique Appliquée et MOdélisation Stochastique (SAMOS), Université Paris 1 Panthéon-Sorbonne (UP1)

المصدر: ISSN: 0893-6080 ; Neural Networks ; https://hal.science/hal-00257839Test ; Neural Networks, 2006, 19 (6-7), pp.830-837. ⟨10.1016/j.neunet.2006.05.016⟩.

مصطلحات موضوعية: Distortion measure, Asymptotic convergence, Consistency, Self-organizing map, Empirical processes, Glivenko–Cantelli class, Uniform law of large numbers, General neighborhood function, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/0802.3150; hal-00257839; https://hal.science/hal-00257839Test; https://hal.science/hal-00257839/documentTest; https://hal.science/hal-00257839/file/extended.pdfTest; ARXIV: 0802.3150

الإتاحة: https://doi.org/10.1016/j.neunet.2006.05.016Test
https://hal.science/hal-00257839Test
https://hal.science/hal-00257839/documentTest
https://hal.science/hal-00257839/file/extended.pdfTest

المؤلفون: Joseph Rynkiewicz

المساهمون: Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Statistique Appliquée et MOdélisation Stochastique (SAMOS), Université Paris 1 Panthéon-Sorbonne (UP1)

المصدر: Neural Networks
Neural Networks, Elsevier, 2006, 19 (6-7), pp.830-837. ⟨10.1016/j.neunet.2006.05.016⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Self-organizing map, Cognitive Neuroscience, Models, Neurological, Glivenko–Cantelli class, Machine Learning (stat.ML), Mathematics - Statistics Theory, Statistics Theory (math.ST), 02 engineering and technology, 01 natural sciences, Asymptotic convergence, 010104 statistics & probability, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Statistics - Machine Learning, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, General neighborhood function, Mathematics, Equilibrium point, Euclidean space, Strong consistency, Uniform law of large numbers, Signal Processing, Computer-Assisted, [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], Weights and Measures, Maxima and minima, Transverse measure, Compact space, Data Interpretation, Statistical, Empirical processes, Distortion measure, 020201 artificial intelligence & image processing, Neural Networks, Computer, Seasons, Consistency, Minification, Algorithm, Algorithms

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4f5b33725b29061cfc6943da26e1945Test
https://doi.org/10.1016/j.neunet.2006.05.016Test

المؤلفون: Cuevas, A., Fraiman, R., Pateiro-López, B.

مصطلحات موضوعية: r-convexity, positive reach, rolling condition, Glivenko-Cantelli class, set estimation, boundary length, excess mass, 47N30, 60D05, 62G05

وصف الملف: application/pdf

العلاقة: http://projecteuclid.org/euclid.aap/1339878713Test; Adv. in Appl. Probab. 44, no. 2 (2012), 311-329

الإتاحة: https://doi.org/10.1239/aap/1339878713Test
http://projecteuclid.org/euclid.aap/1339878713Test

المؤلفون: Aad van der Vaart

المصدر: Stochastic Processes and their Applications. 52(1):93-105

مصطلحات موضوعية: Discrete mathematics, Statistics and Probability, Entropy, Applied Mathematics, 010102 general mathematics, Glivenko-Cantelli class, Covering number, Glivenko–Cantelli theorem, 01 natural sciences, Upper and lower bounds, Combinatorics, Empirical central limit theorem, 010104 statistics & probability, Bracketing number, Modeling and Simulation, Bounded function, Modelling and Simulation, Donsker class, Differentiable function, 0101 mathematics, Donsker's theorem, Mathematics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aea319f9dd47ef3af97660910470121Test

المؤلفون: Antonio Cuevas, Ricardo Fraiman, Beatriz Pateiro-López

المساهمون: UAM. Departamento de Matemáticas

المصدر: Adv. in Appl. Probab. 44, no. 2 (2012), 311-329
Biblos-e Archivo. Repositorio Institucional de la UAM
instname

مصطلحات موضوعية: Statistics and Probability, Excess mass, Matemáticas, Applied probability, R-convexity, Mathematics - Statistics Theory, Statistics Theory (math.ST), Type (model theory), 01 natural sciences, Set estimation, Combinatorics, Rolling condition, 010104 statistics & probability, FOS: Mathematics, 62G05, Boundary length, 0101 mathematics, 60D05, Mathematics, Positive reach, Applied Mathematics, 010102 general mathematics, Glivenko-Cantelli class, Algebra, Glivenko-Cantelli classes, 47N30

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4429f61d54ad3bb2ba7194967e1c3525Test
http://arxiv.org/abs/1105.6239Test

المؤلفون: Ying, Yiming, Zhou, Ding-Xuan

مصطلحات موضوعية: Gaussian kernel, flexible variances, learning theory, Glivenko-Cantelli class, regularization scheme, empirical covering number

العلاقة: https://jmlr.org/papers/v8/ying07a.htmlTest; Vol. 8, pp. 249-276; http://hdl.handle.net/10871/11961Test; Journal of Machine Learning Research

الإتاحة: http://hdl.handle.net/10871/11961Test

المؤلفون: Bin Nan, Menggang Yu, John D. Kalbfleisch

المصدر: Ann. Statist. 37, no. 5A (2009), 2351-2376

مصطلحات موضوعية: Statistics and Probability, Wilcoxon signed-rank test, Glivenko–Cantelli class, pseudo Z-estimator, Mathematics - Statistics Theory, nonpredictable weights, Estimating equations, Statistics Theory (math.ST), Accelerated failure time model, semiparametric method, censored linear regression, rank estimating equation, 62N01, FOS: Mathematics, Applied mathematics, Donsker class, 62D05, Mathematics, 62E20, 62N01 (Primary) 62D05 (Secondary), 62E20, empirical processes, Stochastic process, Estimator, Missing data, case-cohort study, Semiparametric model, Statistics, Probability and Uncertainty, Martingale (probability theory)

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c686160fceb37ac4e7783664c4e5a80bTest