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GWKBR: a novel method integrating machine learning and Bayesian inference framework to improve genomic prediction accuracy. [PDF]
Brief BioinformWang X, Jiang J, Zhang Z, Zhang Y.
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Measuring Statistical Dependence via Characteristic Function IPM. [PDF]
Entropy (Basel)Daniušis P +3 more
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Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs. [PDF]
Plant GenomeBrault C +8 more
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What are reproducing kernels? (General topics on applications of reproducing kernels)
What are reproducing kernels? (General topics on applications of reproducing kernels)openaire
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ANALYTIC TRIDIAGONAL REPRODUCING KERNELS
Journal of the London Mathematical Society, 2001The paper characterizes the reproducing kernel Hilbert spaces with orthonormal bases of the form {(an,0+an,1z+…+an,JzJ)zn, n [ges ] 0}. The primary focus is on the tridiagonal case where J = 1, and on how it compares with the diagonal case where J = 0. The question of when multiplication by z is a bounded operator is investigated, and aspects of
Adams, Gregory T., McGuire, Paul J.
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Reproducing Kernel Quaternionic Pontryagin Spaces
Integral Equations and Operator Theory, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alpay, Daniel, Shapiro, Michael
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The Reproducing Kernel Method. II
Journal of Mathematical Physics, 1972The explicit solution of the Cauchy problem ∂N/∂t = HN by means of reproducing kernels is obtained under various forms: conformal mapping expansions, Sheffer polynomial expansion, polynomials orthogonal on a family of curves; the convergence is studied for both Szegö and Bergman kernels.
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