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The potential of combined robust model predictive control and deep learning in enhancing control performance and adaptability in energy systems. [PDF]

Sci Rep
Lv X, Basem A, Hasani M, Sun P, Zhang J.
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Optimized Tail Bounds for Random Matrix Series. [PDF]

Entropy (Basel)
Gao X, Zhang M, Luo J.
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Gibbs manifolds. [PDF]

Inf Geom
Pavlov D, Sturmfels B, Telen S.
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Information Theory Meets Quantum Chemistry: A Review and Perspective. [PDF]

Entropy (Basel)
Zhao Y, Zhao D, Rong C, Liu S, Ayers PW.
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Similarity-based multimodal regression. [PDF]

Biostatistics
Chen AA, Weinstein SM, Adebimpe A, Gur RC, Gur RE, Merikangas KR, Satterthwaite TD, Shinohara RT, Shou H.   +8 more
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Certified algorithms for equilibrium states of local quantum Hamiltonians. [PDF]

Nat Commun
Fawzi H, Fawzi O, Scalet SO.
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Introduction to correlation networks: Interdisciplinary approaches beyond thresholding. [PDF]

Phys Rep
Masuda N, Boyd ZM, Garlaschelli D, Mucha PJ.   +3 more
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Transformation of non positive semidefinite correlation matrices

Communications in Statistics - Theory and Methods, 1993
In multivariate statistics, estimation of the covariance or correlation matrix is of crucial importance. Computational and other arguments often lead to the use of coordinate-dependent estimators, yielding matrices that are symmetric but not positive semidefinite.
Rousseeuw, Peter, Molenberghs, Geert
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