Supervised pre-clustering for sparse regression

DOI10.1080/00207721.2013.811312zbMath1328.62551OpenAlexW2113978215MaRDI QIDQ5252905

Sumitra S. Nair, Tony J. Dodd

Publication date: 3 June 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.811312

zbMATH Keywords

clusteringreproducing kernel Hilbert spaceskernel methodssparse algorithms

Mathematics Subject Classification ID

Inference from spatial processes (62M30)

Related Items (1)

Formulation of Two Stage Multiple Kernel Learning Using Regression Framework

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multivariate adaptive regression splines
• Improved sparse least-squares support vector machines
• Regularization networks and support vector machines
• Linear inverse problems with discrete data. I. General formulation and singular system analysis
• Sparse Approximate Solutions to Linear Systems
• On the Convergence of the Conjugate Gradient Method for Singular Linear Operator Equations
• Scaling kernel-based systems to large data sets

This page was built for publication: Supervised pre-clustering for sparse regression