Global-local least-squares support vector machine (GLocal-LS-SVM)
This study introduces the global-local least-squares support vector machine (GLocal-LS-SVM), a novel machine learning algorithm that combines the strengths of localised and global learning. GLocal-LS-SVM addresses the challenges associated with decentralised data sources, large datasets, and input-s...
المؤلف الرئيسي: | Ahmed Youssef Ali Amer |
---|---|
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Public Library of Science (PLoS)
2023-01-01
|
سلاسل: | PLoS ONE |
الوصول للمادة أونلاين: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138269/?tool=EBI |
مواد مشابهة
-
Global-local least-squares support vector machine (GLocal-LS-SVM).
حسب: Ahmed Youssef Ali Amer
منشور في: (2023-01-01) -
Belajar Least Squares Support Vector Machines (LS-SVM) dalam masa seminggu
حسب: Mohd Herwan, Sulaiman, وآخرون
منشور في: (2017) -
Water Quantity Prediction Using Least Squares Support Vector Machines (LS-SVM) Method
حسب: Nian Zhang, وآخرون
منشور في: (2014-08-01) -
Evaluation of the least square support vector machines (LS-SVM) to predict longitudinal dispersion coefficient
حسب: Mehdi Mohammadi Ghaleni, وآخرون
منشور في: (2022-05-01) -
Forecasting the costs of residential construction based on support vector machine and least squares-support vector machine(基于SVM和LS-SVM的住宅工程造价预测研究)
حسب: QINZhongfu(秦中伏), وآخرون
منشور في: (2016-05-01)