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Global optimization of hyper-parameters in reservoir computing

• Authors : Bin Ren; Huanfei Ma

Subjects: reservoir computing; global optimization; simulated annealing

• Source: Electronic Research Archive, Vol 30, Iss 7, Pp 2719-2729 (2022)

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A new method for computing the largest singular value and an associated right singular vector of a complex matrix

• Authors : Carrasco, Juan A.; Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica

Subjects: Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics; Matrices; Numerical analysis

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The Smallest Singular Value Anomaly and the Condition Number Anomaly

• Authors : Achiya Dax

Subjects: submatrices; largest singular value; smallest singular value anomaly

• Source: Axioms; Volume 11; Issue 3; Pages: 99

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Small-Deviation Inequalities for Sums of Random Matrices

• Authors : Xianjie Gao; Chao Zhang; Hongwei Zhang

Subjects: large-deviation inequality; small-deviation inequality; random matrix

• Source: Symmetry; Volume 11; Issue 5; Pages: 638

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On the Distribution of the Largest Eigenvalue in Principal Components Analysis

• Authors : Johnstone, Iain M.

• Source: The Annals of Statistics, 2001 Apr 01. 29(2), 295-327.

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Limit theory for the largest eigenvalues of sample covariance matrices with heavy-tails

• Authors : Davis, R. A.; Pfaffel, O.; and Stelzer, R. ...

Subjects: info:eu-repo/classification/ddc; Random matrix theory; Heavy-tailed distribution

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Regular, pseudo-regular, and almost regular matrices

• Authors : Vladimir Nikiforov; The Pennsylvania State University CiteSeerX Archives

Subjects: largest singular value

• Source: http://arxiv.org/pdf/math/0703207v1.pdf.

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Small-Deviation Inequalities for Sums of Random Matrices

• Authors : Hongwei Zhang; Chao Zhang; Xianjie Gao

Subjects: large-deviation inequality; Pure mathematics; Physics and Astronomy (miscellaneous)

• Source: SymmetryVolume 11Issue 5Symmetry, Vol 11, Iss 5, p 638 (2019)

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Limit theory for the largest eigenvalues of sample covariance matrices with heavy-tails

• Authors : Richard A. Davis; Oliver Pfaffel; Robert Stelzer ...

Subjects: Statistics and Probability; Random matrix theory; Heavy-tailed distribution

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On the expectation of the norm of random matrices with non-identically distributed entries

• Authors : Schuett, Carsten; Riemer, Stiene

Subjects: Random Matrix; Largest Singular Value; Orlicz Norm

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