Active Learning and Basis Selection for Kernel-Based Linear Models: A Bayesian Perspective

DOI10.1109/TSP.2010.2042491zbMath1391.62134OpenAlexW2156929696MaRDI QIDQ4570255

Xuejun Liao, Lawrence Carin, John Paisley

Publication date: 9 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2010.2042491

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Pattern recognition, speech recognition (68T10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Nyström landmark sampling and regularized Christoffel functions ⋮ Concentration of tempered posteriors and of their variational approximations ⋮ Active learning using transductive sparse Bayesian regression

This page was built for publication: Active Learning and Basis Selection for Kernel-Based Linear Models: A Bayesian Perspective