Fractional Tikhonov regularization to improve the performance of extreme learning machines

DOI10.1016/J.PHYSA.2019.124034OpenAlexW2999268094WikidataQ126343059 ScholiaQ126343059MaRDI QIDQ2141124

Shraddha M. Naik, Ravi Prasad K. Jagannath, Venkatanareshbabu Kuppili

Publication date: 23 May 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2019.124034

zbMATH Keywords

classificationregularizationTikhonov regularizationextreme learning machine

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Uses Software

• UCI-ml
• UTV
• glmnet

Cites Work

• Fractional Tikhonov regularization for linear discrete ill-posed problems
• Comparing parameter choice methods for regularization of ill-posed problems
• Trends in extreme learning machines: a review
• GCV for Tikhonov regularization by partial SVD
• Support-vector networks
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter

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