المؤلفون: Van-Duc Le, Tien-Cuong Bui, Wen-Syan Li

المصدر: IEEE Access, Vol 11, Pp 73823-73838 (2023)

مصطلحات موضوعية: End-to-end ML lifecycle, high-dimensional dataset similarity, lifecycle transferring, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10185033Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/8a34ebb1431b44189f0c37aa21ca7278Test

المؤلفون: Mostofi Fatemeh, Toğan Vedat, Başağa Hasan Basri

المصدر: Organization, Technology and Management in Construction: An International Journal, Vol 14, Iss 1, Pp 2741-2759 (2022)

مصطلحات موضوعية: principal component analysis, deep neural network, high-dimensional dataset, real-estate price prediction, stepwise regression, Building construction, TH1-9745

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1847-6228Test

الوصول الحر: https://doaj.org/article/bf81eebbc03242f5a2c1c203514d377cTest

المؤلفون: Yab, Li Yu, Wahid, Noorhaniza, A Hamid, Rahayu

المساهمون: Malaysian Ministry of Higher Education, Universiti Tun Hussein Onn Malaysia

المصدر: JOIV : International Journal on Informatics Visualization; Vol 7, No 2 (2023); 477-486 ; 2549-9904 ; 2549-9610

مصطلحات موضوعية: Feature selection, metaheuristics, whale optimization algorithm, grey wolf optimizer, control parameter, high-dimensional dataset

وصف الملف: application/pdf

العلاقة: http://joiv.org/index.php/joiv/article/view/1509/665Test; http://joiv.org/index.php/joiv/article/view/1509Test

الإتاحة: https://doi.org/10.30630/joiv.7.2.1509Test
http://joiv.org/index.php/joiv/article/view/1509Test

المؤلفون: Li Yu Yab, Noorhaniza Wahid, Rahayu A. Hamid

المصدر: IEEE Access, Vol 10, Pp 122832-122856 (2022)

مصطلحات موضوعية: Feature selection, filter, wrapper, meta-heuristics, high-dimensional dataset, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9944657Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/ec45249247aa452b96f98f5779ec5861Test

المؤلفون: Bac, Jonathan, Zinovyev, Andrei

المساهمون: Institut Curie Paris, Cancer et génome: Bioinformatique, biostatistiques et épidémiologie d'un système complexe, Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut Curie Paris -Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Sciences et Lettres (PSL), Institut de Recherches Internationales Servier, Education–Programme Bettencourt, ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019)

المصدر: 2020 International Joint Conference on Neural Networks (IJCNN)
https://hal.science/hal-02972293Test
2020 International Joint Conference on Neural Networks (IJCNN), Jul 2020, Glasgow, United Kingdom. pp.1-8, ⟨10.1109/IJCNN48605.2020.9207096⟩

مصطلحات موضوعية: High-dimensional dataset, Intrinsic dimension, Effective dimension, Concentration of measure, Separability, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [STAT.ME]Statistics [stat]/Methodology [stat.ME]

جغرافية الموضوع: Glasgow, United Kingdom

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2001.11739; hal-02972293; https://hal.science/hal-02972293Test; https://hal.science/hal-02972293/documentTest; https://hal.science/hal-02972293/file/BacZinovyev_IJCNN2020.pdfTest; ARXIV: 2001.11739

الإتاحة: https://doi.org/10.1109/IJCNN48605.2020.9207096Test
https://hal.science/hal-02972293Test
https://hal.science/hal-02972293/documentTest
https://hal.science/hal-02972293/file/BacZinovyev_IJCNN2020.pdfTest

المؤلفون: Ning Wang, Zhigang Wang, Yu Gu, Jia Xu, Zhiqiang Wei, Ge Yu

المصدر: IEEE Access, Vol 7, Pp 177342-177353 (2019)

مصطلحات موضوعية: Differential privacy, privacy protection, top-k, high dimensional dataset, privacy consumption, block, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/8924723Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/dd683504f5f34c568a3afd0993d4709eTest

المؤلفون: Haschka, Thomas, Baptiste Morlot, Jean, Carron, Leopold, Mozziconacci, Julien

المساهمون: Structure et Instabilité des Génomes (STRING), Muséum national d'Histoire naturelle (MNHN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Théorique de la Matière Condensée (LPTMC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Biologie Computationnelle et Quantitative = Laboratory of Computational and Quantitative Biology (LCQB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

المصدر: ISSN: 1467-5463.

مصطلحات موضوعية: DNA methylation, Lp-norm, mutual proximity, distance measure, high dimensional dataset, ChIP-seq, RNA-seq, [CHIM]Chemical Sciences

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/34308963; hal-03335513; https://hal.sorbonne-universite.fr/hal-03335513Test; https://hal.sorbonne-universite.fr/hal-03335513/documentTest; https://hal.sorbonne-universite.fr/hal-03335513/file/Haschka%20et%20al.%20-%202021%20-%20Improving%20distance%20measures%20between%20genomic%20tracks.pdfTest; PUBMED: 34308963

الإتاحة: https://doi.org/10.1093/bib/bbab266Test
https://hal.sorbonne-universite.fr/hal-03335513Test
https://hal.sorbonne-universite.fr/hal-03335513/documentTest
https://hal.sorbonne-universite.fr/hal-03335513/file/Haschka%20et%20al.%20-%202021%20-%20Improving%20distance%20measures%20between%20genomic%20tracks.pdfTest

المؤلفون: B Ahadzadeh, Moloud Abdar, F Safara, Abbas Khosravi, MB Menhaj, PN Suganthan

مصطلحات موضوعية: Engineering, Information and computing sciences, Artificial intelligence, Data management and data science, Information systems, Science & Technology, Technology, Computer Science, Theory & Methods, Evolutionary computational (EC) methods, feature selection (FS), high-dimensional dataset, particle swarm optimization (PSO), BINARY DIFFERENTIAL EVOLUTION

العلاقة: 10779/DRO/DU:25149425.v1; https://figshare.com/articles/journal_contribution/SFE_A_Simple_Fast_and_Efficient_Feature_Selection_Algorithm_for_High-Dimensional_Data/25149425Test

الإتاحة: https://figshare.com/articles/journal_contribution/SFE_A_Simple_Fast_and_Efficient_Feature_Selection_Algorithm_for_High-Dimensional_Data/25149425Test

المؤلفون: Teyou Soh, Theophile

المساهمون: Neitzke, Michael

مصطلحات موضوعية: Clustering, Dimensionsreduktion, CURE Clustering, spektrales Clustering, PCA, UMAP, T-SNE, maschinelles Lernen, Hochdimensionaler Datensatz, dimensionality reduction, CURE clustring, spectral clustering, machine learning, high dimensional dataset, 004: Informatik, ddc:004

وصف الملف: application/pdf

العلاقة: http://hdl.handle.net/20.500.12738/14251Test

الإتاحة: https://doi.org/20.500.12738/14251Test
https://hdl.handle.net/20.500.12738/14251Test

المؤلفون: Vojáček, Lukáš, Dráždilová, Pavla, Dvorský, Jiří

المساهمون: IT4Innovations Centre of Excellence, Technical University of Ostrava Ostrava (VSB), Khalid Saeed, Władysław Homenda, Rituparna Chaki, TC 8

المصدر: Lecture Notes in Computer Science ; 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM) ; https://hal.inria.fr/hal-01656222Test ; 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. pp.63-72, ⟨10.1007/978-3-319-59105-6_6⟩

مصطلحات موضوعية: Growing neural gas, High-dimensional dataset, High performance computing, MPI, [INFO]Computer Science [cs], [SHS.INFO]Humanities and Social Sciences/Library and information sciences

جغرافية الموضوع: Bialystok, Poland

الوقت: Bialystok, Poland

العلاقة: hal-01656222; https://hal.inria.fr/hal-01656222Test; https://hal.inria.fr/hal-01656222/documentTest; https://hal.inria.fr/hal-01656222/file/448933_1_En_6_Chapter.pdfTest

الإتاحة: https://doi.org/10.1007/978-3-319-59105-6_6Test
https://hal.inria.fr/hal-01656222Test
https://hal.inria.fr/hal-01656222/documentTest
https://hal.inria.fr/hal-01656222/file/448933_1_En_6_Chapter.pdfTest