يعرض 1 - 10 نتائج من 89 نتيجة بحث عن '"Junhai Zhai"', وقت الاستعلام: 0.87s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Big data decision tree for continuous-valued attributes based on unbalanced cut points

    المؤلفون: Shixiang Ma, Junhai Zhai

    المصدر: Journal of Big Data, Vol 10, Iss 1, Pp 1-22 (2023)

    مصطلحات موضوعية: Big data, Decision tree, Cut point, Hadoop, Spark, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2196-1115

    URL الوصول: https://doaj.org/article/d2f1611a30914178a6b461c7ff1a52b8

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  2. 2
    دورية أكاديمية
    Optimal instance subset selection from big data using genetic algorithm and open source framework

    المؤلفون: Junhai Zhai, Dandan Song

    المصدر: Journal of Big Data, Vol 9, Iss 1, Pp 1-18 (2022)

    مصطلحات موضوعية: Big data, Instance selection, Cross-selection, Genetic algorithm, Open source platforms, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2196-1115

    URL الوصول: https://doaj.org/article/60085cda4846496798bf5b3285a3b774

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  3. 3
    دورية أكاديمية
    Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion

    المؤلفون: Junhai Zhai, Jiaxing Qi, Sufang Zhang

    المصدر: IEEE Access, Vol 8, Pp 169456-169469 (2020)

    مصطلحات موضوعية: Binary class imbalance, diversity oversampling, generative adversarial network, classifier fusion, fuzzy integral, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9195865/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/3248186172f54b829d379f64d038db41

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  4. 4
    مؤتمر
    A new resampling method of imbalanced large data based on class boundary

    المؤلفون: Sheng, Xing, Junhai, Zhai, Xiaolan, Wang, Ming, Yuan

    المصدر: 2015 International Conference on Machine Learning and Cybernetics (ICMLC) Machine Learning and Cybernetics (ICMLC), 2015 International Conference on. 2:826-831 Jul, 2015

    Relation: 2015 International Conference on Machine Learning and Cybernetics (ICMLC)

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  5. 5
    مؤتمر
    Sample Selection Based on K-L Divergence for Effectively Training SVM

    المؤلفون: Junhai Zhai, Chang Li, Ta Li

    المصدر: 2013 IEEE International Conference on Systems, Man, and Cybernetics Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on. :4837-4842 Oct, 2013

    Relation: 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

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  6. 6
    Binary imbalanced data classification based on diversity oversampling by generative models

    المؤلفون: Junhai Zhai, Chu Shen, Jiaxing Qi

    المصدر: Information Sciences. 585:313-343

    مصطلحات موضوعية: Information Systems and Management, Computer science, business.industry, Binary number, Pattern recognition, Class (biology), Autoencoder, Field (computer science), Computer Science Applications, Theoretical Computer Science, Artificial Intelligence, Control and Systems Engineering, Probability distribution, Oversampling, Artificial intelligence, business, Software, Generative grammar, Extreme learning machine

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fd5ffb871a5f6ba4fecf159e21a7ff11
    https://doi.org/10.1016/j.ins.2021.11.058

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  7. 7
    Binary imbalanced big data classification based on fuzzy data reduction and classifier fusion

    المؤلفون: Junhai Zhai, Mohan Wang, Sufang Zhang

    المصدر: Soft Computing. 26:2781-2792

    مصطلحات موضوعية: Geometry and Topology, Software, Theoretical Computer Science

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b73623d2567e847f5b30fb7e8aec6d79
    https://doi.org/10.1007/s00500-021-06654-9

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  8. 8
    Novel kernel density estimator based on ensemble unbiased cross-validation

    المؤلفون: De-Fa Huang, Xuan Ye, Junhai Zhai, Joshua Zhexue Huang, Yulin He

    المصدر: Information Sciences. 581:327-344

    مصطلحات موضوعية: Information Systems and Management, Computer science, Kernel density estimation, Estimator, Probability density function, Stability (probability), Cross-validation, Computer Science Applications, Theoretical Computer Science, Artificial Intelligence, Control and Systems Engineering, Bandwidth (computing), Kernel regression, Probability distribution, Algorithm, Software

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cacfe979b4c1f7aa59109b13c3a62800
    https://doi.org/10.1016/j.ins.2021.09.045

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  9. 9
    Imbalanced data classification based on diverse sample generation and classifier fusion

    المؤلفون: Junhai Zhai, Sufang Zhang, Jiaxing Qi

    المصدر: International Journal of Machine Learning and Cybernetics. 13:735-750

    مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, business.industry, Sample (statistics), Computational intelligence, 02 engineering and technology, Machine learning, computer.software_genre, Base (topology), Fuzzy logic, 020901 industrial engineering & automation, Classifier fusion, Artificial Intelligence, Pattern recognition (psychology), 0202 electrical engineering, electronic engineering, information engineering, Oversampling, Probability distribution, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, computer, Software

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6834b3c53a216620cee7856fea9aa85c
    https://doi.org/10.1007/s13042-021-01321-9

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  10. 10
    Instance selection for big data based on locally sensitive hashing and double-voting mechanism

    المؤلفون: Junhai Zhai, Yajie Huang

    المصدر: Advances in Computational Intelligence. 2

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e9e3c9b2456f509316e436bad27bf5c7
    https://doi.org/10.1007/s43674-022-00033-z

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