Weighted online sequential extreme learning machine for class imbalance learning

• المؤلفون الرئيسيون: Lin, Zhiping, Mirza, Bilal., Toh, Kar-Ann.
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/101064; http://hdl.handle.net/10220/16690

Most of the existing sequential learning methods for class imbalance learn data in chunks. In this paper, we propose a weighted online sequential extreme learning machine (WOS-ELM) algorithm for class imbalance learning (CIL). WOS-ELM is a general online learning method that alleviates the class imb...