Selection principle for machine learning methods

被引：0
|
作者：
Univ of Sussex, Brighton, United Kingdom [1 ]
机构：
来源：
Neural Network World | / 2卷 / 231-239期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Line Selection and Algorithm Selection for Transmission Switching by Machine Learning Methods
    Yang, Zhu
    Oren, Shmuel
    2019 IEEE MILAN POWERTECH, 2019,
  • [2] Addressing sample selection bias for machine learning methods
    Brewer, Dylan
    Carlson, Alyssa
    JOURNAL OF APPLIED ECONOMETRICS, 2024, 39 (03) : 383 - 400
  • [3] Machine Learning Methods for Gene Selection in Uveal Melanoma
    Reggiani, Francesco
    El Rashed, Zeinab
    Petito, Mariangela
    Pfeffer, Max
    Morabito, Anna
    Tanda, Enrica Teresa
    Spagnolo, Francesco
    Croce, Michela
    Pfeffer, Ulrich
    Amaro, Adriana
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (03)
  • [4] Sample size selection in optimization methods for machine learning
    Byrd, Richard H.
    Chin, Gillian M.
    Nocedal, Jorge
    Wu, Yuchen
    MATHEMATICAL PROGRAMMING, 2012, 134 (01) : 127 - 155
  • [5] Sample size selection in optimization methods for machine learning
    Richard H. Byrd
    Gillian M. Chin
    Jorge Nocedal
    Yuchen Wu
    Mathematical Programming, 2012, 134 : 127 - 155
  • [6] Towards the Selection of the Best Machine Learning Techniques and Methods for Urinalysis
    Zeb, Babar
    Khan, Aimal
    Khan, Younas
    Masood, Muhammad Faisal
    Tahir, Iqra
    Asad, Muhammad
    ICMLC 2020: 2020 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING, 2018, : 127 - 133
  • [7] Phishing detection based on machine learning and feature selection methods
    Almseidin M.
    Abu Zuraiq A.M.
    Al-kasassbeh M.
    Alnidami N.
    International Journal of Interactive Mobile Technologies, 2019, 13 (12) : 71 - 183
  • [8] Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
    Natan Micheletti
    Loris Foresti
    Sylvain Robert
    Michael Leuenberger
    Andrea Pedrazzini
    Michel Jaboyedoff
    Mikhail Kanevski
    Mathematical Geosciences, 2014, 46 : 33 - 57
  • [9] A review of gene selection methods based on machine learning approaches
    Lee, Hajoung
    Kim, Jaejik
    KOREAN JOURNAL OF APPLIED STATISTICS, 2022, 35 (05) : 667 - 684
  • [10] Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
    Micheletti, Natan
    Foresti, Loris
    Robert, Sylvain
    Leuenberger, Michael
    Pedrazzini, Andrea
    Jaboyedoff, Michel
    Kanevski, Mikhail
    MATHEMATICAL GEOSCIENCES, 2014, 46 (01) : 33 - 57
12345