An extended DEIM algorithm for subset selection and class identification

DOI10.1007/s10994-021-05954-3OpenAlexW3138623097MaRDI QIDQ2051261

Emily P. Hendryx, Craig G. Rusin, Béatrice Rivière

Publication date: 24 November 2021

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-021-05954-3

zbMATH Keywords

subset selectiondiscrete empirical interpolation methodclass identificationlow rank data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

A Hybrid DEIM and Leverage Scores Based Method for CUR Index Selection

Uses Software

• Matlab
• UCI-ml
• PhysioToolkit

Cites Work

• CUR matrix decompositions for improved data analysis
• Compressed sensing with coherent and redundant dictionaries
• The many proofs of an identity on the norm of oblique projections
• A theory of pseudoskeleton approximations
• Four algorithms for the the efficient computation of truncated pivoted QR approximations to a sparse matrix
• A New Selection Operator for the Discrete Empirical Interpolation Method---Improved A Priori Error Bound and Extensions
• A DEIM Induced CUR Factorization
• An Accelerated Greedy Missing Point Estimation Procedure
• Nonlinear Model Reduction via Discrete Empirical Interpolation
• Relative-Error $CUR$ Matrix Decompositions
• Uncertainty principles and ideal atomic decomposition
• Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns
• Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points

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