Evolutionary combination of kernels for nonlinear feature transformation

DOI10.1016/J.INS.2014.02.140zbMath1341.68173OpenAlexW2012705953MaRDI QIDQ726372

Babak Nasersharif, Ahmad Akbari, Behzad Zamani

Publication date: 8 July 2016

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.02.140

zbMATH Keywords

genetic algorithmgenetic programmingkernel combinationkernel linear discriminant analysis (KLDA)kernel principal component analysis (KPCA)

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

Optimal learning rates of \(l^p\)-type multiple kernel learning under general conditions ⋮ Dimensionality reduction by feature clustering for regression problems

Uses Software

• UCI-ml

Cites Work

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• Kernel class-wise locality preserving projection
• Class Dependent LDA Optimization Using Genetic Algorithm for Robust MFCC Extraction
• Well-Separated Clusters and Optimal Fuzzy Partitions
• Kernel-Based Feature Extraction with a Speech Technology Application

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