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1كتاب إلكتروني
المؤلفون: Nakao, Eduardo K.Aff19, Levada, Alexandre L. M.Aff19
المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Woeginger, Gerhard, Editorial Board MemberAff6, Yung, Moti, Editorial Board MemberAff7, Gervasi, Osvaldo, editorAff8, Murgante, Beniamino, editorAff9, Misra, Sanjay, editorAff10, Garau, Chiara, editorAff11, Blečić, Ivan, editorAff12, Taniar, David, editorAff13, Apduhan, Bernady O., editorAff14, Rocha, Ana Maria A.C., editorAff15, Tarantino, Eufemia, editorAff16, Torre, Carmelo Maria, editorAff17, Karaca, Yeliz, editorAff18
المصدر: Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part I. 12249:792-806
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2
المؤلفون: Simão Moraes Sarmento, Nuno Horta
المصدر: A Machine Learning based Pairs Trading Investment Strategy ISBN: 9783030472504
مصطلحات موضوعية: DBSCAN, business.industry, Computer science, Dimensionality reduction, Machine learning, computer.software_genre, Principal component analysis, Unsupervised learning, Artificial intelligence, business, Cluster analysis, Research question, computer, Selection (genetic algorithm), Curse of dimensionality
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0449203c3deea85117972f7548ec4c59
https://doi.org/10.1007/978-3-030-47251-1_3 -
3
المؤلفون: Alexandre L. M. Levada, Eduardo K. Nakao
المصدر: Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030587987
ICCSA (1)مصطلحات موضوعية: business.industry, Computer science, Feature extraction, Nonlinear dimensionality reduction, Unsupervised learning, Hyperspectral imaging, Pattern recognition, Artificial intelligence, Covariance, business, Mixture model, Cluster analysis, Curse of dimensionality
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::bcfa1a3b12a82220895c01c830b374b8
https://doi.org/10.1007/978-3-030-58799-4_57 -
4
المؤلفون: Changqing Zhang, Ke Gao, Qinghua Hu, Pengfei Zhu
المصدر: Biometric Recognition ISBN: 9783319466538
CCBRمصطلحات موضوعية: K-SVD, business.industry, Computer science, Dimensionality reduction, Feature vector, 02 engineering and technology, Semi-supervised learning, Machine learning, computer.software_genre, Feature Dimension, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Unsupervised learning, 020201 artificial intelligence & image processing, Instance-based learning, Artificial intelligence, business, computer, Curse of dimensionality
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::61421b6078999ad49493283a461eda6c
https://doi.org/10.1007/978-3-319-46654-5_61 -
5
المؤلفون: Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
المصدر: Communications in Computer and Information Science ISBN: 9783319232003
ADBIS (Short Papers and Workshops)مصطلحات موضوعية: business.industry, Computer science, Dimensionality reduction, Supervised learning, Feature selection, Machine learning, computer.software_genre, Spark (mathematics), Unsupervised learning, Artificial intelligence, business, Massively parallel, computer, Selection (genetic algorithm), Curse of dimensionality
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1f91edb88c78212235ad774644b56fce
https://doi.org/10.1007/978-3-319-23201-0_21 -
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المؤلفون: Fuming Sun, Xiaojun Jiang, Meixiang Xu
المصدر: MultiMedia Modeling ISBN: 9783319144412
MMM (2)مصطلحات موضوعية: Contextual image classification, business.industry, Computer science, Dimensionality reduction, Supervised learning, Pattern recognition, Semi-supervised learning, Machine learning, computer.software_genre, Manual annotation, Robustness (computer science), Unsupervised learning, Artificial intelligence, business, computer, Curse of dimensionality
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8f72117d18198de39260b12dfdffc046
https://doi.org/10.1007/978-3-319-14442-9_56