A predictor-corrector affine scaling method to train optimized extreme learning machine

DOI10.1016/j.jfranklin.2021.12.005OpenAlexW4200309777MaRDI QIDQ2071232

Xiaojian Ding, Sheng Jin, Ming Lei, Fan Yang

Publication date: 25 January 2022

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.12.005

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Matlab
• LOQO
• UCI-ml
• SVMlight
• HOPDM
• Mosek
• CONV_QP
• GPDT
• MINQ
• MINQ8

Cites Work

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• Ensemble extreme learning machine and sparse representation classification
• Lectures on convex optimization
• HOPDM (version 2. 12) -- a fast LP solver based on a primal-dual interior point method
• MINQ8: general definite and bound constrained indefinite quadratic programming
• Support-vector networks
• Interior-point solver for large-scale quadratic programming problems with bound constraints
• On the Implementation of a Primal-Dual Interior Point Method
• Interior-Point Methods for Massive Support Vector Machines
• Regularized symmetric indefinite systems in interior point methods for linear and quadratic optimization
• LOQO:an interior point code for quadratic programming
• Gradient projection methods for quadratic programs and applications in training support vector machines

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