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Reduced-Kernel Weighted Extreme Learning Machine Using Universum Data in Feature Space (RKWELM-UFS) to Handle Binary Class Imbalanced Dataset Classification

Roshani Choudhary, Sanyam Shukla
2022 Symmetry  
The proposed RKWELM-UFS combines the Universum learning method with a Reduced-Kernelized Weighted Extreme Learning Machine (RKWELM) for the first time to inherit the advantages of both techniques.  ...  This paper proposes a novel hybrid framework called Reduced-Kernel Weighted Extreme Learning Machine Using Universum Data in Feature Space (RKWELM-UFS) to handle the classification of binary class-imbalanced  ...  The weighted version of RKELM i.e., Reduced-Kernel Weighted Extreme Learning Machine (RKWELM) is proposed in [21] for class imbalance learning.  ... 
doi:10.3390/sym14020379 fatcat:wanrqfejd5gqldxvvro3e4jibi

Comprehensive Review On Twin Support Vector Machines [article]

M. Tanveer and T. Rajani and R. Rastogi and Y.H. Shao and M. A. Ganaie
2021 arXiv   pre-print
Twin support vector machine (TWSVM) and twin support vector regression (TSVR) are newly emerging efficient machine learning techniques which offer promising solutions for classification and regression  ...  to solve two SVM kind problems.  ...  Recently, Richhariya and Tanveer [118] proposed a reduced universum twin support vector machine for class imbalance learning (RUTWSVM-CIL) with the idea of prior information about the data distribution  ... 
arXiv:2105.00336v2 fatcat:prxup4sbavfyxpembij6amrnka