Open AccessRegression analysis on high-dimensional, block diagonal structure data with focus on latent variables
Author(s) -
Shinei Seki,
Yasushi Nagata
Publication year - 2018
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5045423
Subject(s) - lasso (programming language) , principal component analysis , covariance matrix , principal component regression , latent variable , covariance , focus (optics) , diagonal , regression analysis , computer science , sample size determination , regression , elastic net regularization , block (permutation group theory) , artificial intelligence , statistics , pattern recognition (psychology) , mathematics , algorithm , physics , geometry , world wide web , optics
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