يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '"Kan, Yulong"', وقت الاستعلام: 0.79s تنقيح النتائج
  1. 1
    مؤتمر
    KtreeBnIp: An Efficient Epistasis Mining Approach Using K-tree Optimizing Bayesian Network

    المؤلفون: Li, Keqin, Yang, Xuan, Xie, Ao, Kan, Yulong, Wang, Xu, Deng, Junli, Liu, Jianxiao

    المصدر: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :2817-2824 Dec, 2023

    Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  2. 2
    مؤتمر
    A Kind of Epistasis Mining Method Based on K-tree and Bayesian Network

    المؤلفون: Kan, Yulong, Wang, Xu, Yang, Chen, Yang, Xuan, Wang, Liguang, Liu, Jianxiao

    المصدر: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on. :1377-1382 Dec, 2020

    Relation: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  3. 3
    مؤتمر
    BnBeeEpi: An Approach of Epistasis Mining Based on Artificial Bee Colony Algorithm Optimizing Bayesian Network

    المؤلفون: Yang, Chen, Gao, Hui, Yang, Xuan, Huang, Suiyu, Kan, Yulong, Liu, Jianxiao

    المصدر: 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2019 IEEE International Conference on. :232-239 Nov, 2019

    Relation: 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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  4. 4
    A Kind of Epistasis Mining Method Based on K-tree and Bayesian Network

    المؤلفون: Chen Yang, Xu Wang, Kan Yulong, Liguang Wang, Jianxiao Liu, Xuan Yang

    المصدر: BIBM

    مصطلحات موضوعية: ComputingMethodologies_PATTERNRECOGNITION, Computer science, Code (cryptography), Epistasis, Sampling (statistics), Bayesian network, Genomics, False positive rate, Data mining, computer.software_genre, computer, Tree decomposition, Selection (genetic algorithm)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::141b9ea5b90342d4e0bf71c784822d24
    https://doi.org/10.1109/bibm49941.2020.9313440

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  5. 5
    BnBeeEpi: An Approach of Epistasis Mining Based on Artificial Bee Colony Algorithm Optimizing Bayesian Network

    المؤلفون: Jianxiao Liu, Chen Yang, Hui Gao, Huang Suiyu, Kan Yulong, Xuan Yang

    المصدر: BIBM

    مصطلحات موضوعية: Markov blanket, Computer science, business.industry, Bayesian network, Overfitting, Machine learning, computer.software_genre, Visualization, Artificial bee colony algorithm, Local optimum, Epistasis, False positive rate, Artificial intelligence, business, computer

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::230434517d4756afea762edd4751b6d3
    https://doi.org/10.1109/bibm47256.2019.8983151

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