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1تقرير
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المؤلفون: Carrière, Mathieu, Chazal, Frédéric, Ike, Yuichi, Lacombe, Théo, Royer, Martin, Umeda, Yuhei
مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Computational Geometry, Computer Science - Machine Learning, Mathematics - Algebraic Topology
URL الوصول: http://arxiv.org/abs/1904.09378
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5تقرير
المؤلفون: Royer, Martin
مصطلحات موضوعية: Mathematics - Statistics Theory
URL الوصول: http://arxiv.org/abs/1705.06615
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6دورية أكاديمية
المؤلفون: Bunea, Florentina, Giraud, Christophe, Luo, Xi, Royer, Martin, Verzelen, Nicolas
المصدر: The Annals of Statistics, 2020 Feb 01. 48(1), 111-137.
URL الوصول: https://www.jstor.org/stable/26923094
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7تقرير
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8تقرير
المؤلفون: Bunea, Florentina, Giraud, Christophe, Luo, Xi, Royer, Martin, Verzelen, Nicolas
مصطلحات موضوعية: Statistics - Methodology, Mathematics - Statistics Theory, Statistics - Machine Learning, 62H30, 62C20
URL الوصول: http://arxiv.org/abs/1508.01939
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9دورية أكاديمية
المؤلفون: Bing, Xin, Bunea, Florentina, Royer, Martin, Das, Jishnu
المصدر: In iScience 26 April 2019 14:125-135
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المؤلفون: Royer, Martin, Chazal, Frédéric, Levrard, Clément, Umeda, Yuhei, Ike, Yuichi
المساهمون: Understanding the Shape of Data (DATASHAPE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Fujitsu Laboratories Ltd., ANR-19-CHIA-0001,TopAI,TopAI : Analyse Topologique des Données pour l'apprentissage et l'IA(2019), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Probabilités, Statistiques et Modélisations (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)
المصدر: AISTATS 2021-24th International Conference on Artificial Intelligence and Statistics
AISTATS 2021-24th International Conference on Artificial Intelligence and Statistics, Apr 2021, Virtual conference, France
The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021)
The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Apr 2021, Virtual conference, Franceمصطلحات موضوعية: Computational Geometry (cs.CG), FOS: Computer and information sciences, Machine Learning, Topological Data Analysis, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Statistics - Machine Learning, Measure Vectorisation, Computer Science - Data Structures and Algorithms, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], Computer Science - Computational Geometry, Data Structures and Algorithms (cs.DS), Machine Learning (stat.ML), [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b173d89d9e17f26ca577f453d672356
https://hal.science/hal-02296513v3/file/atol.pdf