Results 71 to 80 of about 871 (187)

Effectiveness of low‐density high‐throughput marker platform and easy‐to‐measure traits for genomic prediction of biomass yield in oat (Avena sativa L.)

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in breeding programs. Despite the recent advancements in high‐throughput genotyping technologies, the selection of the type of marker systems needed for GS remains challenging in breeding programs.
Samuel A. Adewale, Md Ali Babar, Diego Jarquin, Naeem Khan, Janam Prabhat Acharya, Sudip Kunwar, Jordan McBreen, Esteban Rios, Stephen Harrison, Noah DeWitt, Amir Ibrahim, Paul Murphy, Rick Boyles, Jason D. Fiedler, Raja Sekhar Nandety   +14 more
wiley   +1 more source

Regularization in Reproducing Kernel Hilbert Spaces

, 2022
AbstractMethods for obtaining a functiongin a relationship$$y=g(x)$$y=g(x)from observed samples ofyandxare the building blocks for black-box estimation. The classical parametric approach discussed in the previous chapters uses a function model that depends on a finite-dimensional vector, like, e.g., a polynomial model.
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung   +4 more
openaire   +1 more source

Genomic selection of root‐knot nematode (Meloidogyne enterolobii) resistance in watermelon wild relatives (Citrullus amarus)

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Meloidogyne enterolobii is a virulent root‐knot nematode (RKN) species posing a significant threat to watermelon production across the United States. The USDA, ARS, Plant Introduction (PI) collection of Citrullus amarus, a wild relative of cultivated watermelon (Citrullus lanatus), contains RKN‐resistance. However, incorporating RKN resistance
Anju Biswas, Homan Regmi, Benjamin D. Waldo, Sandra Branham, Pat Wechter, Shaker Kousik, Diego Jarquin, Amnon Levi, William B. Rutter   +8 more
wiley   +1 more source

An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces. [PDF]

Stat Sin, 2023
Zhang T, Simon N.
europepmc   +1 more source

On goodness‐of‐fit testing for self‐exciting point processes

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 102-139, March 2026.
Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature.
José Carlos Fontanesi Kling, Mathias Vetter   +1 more
wiley   +1 more source

A new mean-Berezin norm for operators in reproducing kernel Hilbert spaces

Journal of Inequalities and Applications
A functional Hilbert space is defined as the Hilbert space K $\mathcal{K}$ of complex-valued functions defined on a set Θ. In this space, the evaluation functionals ψ ε ( h ) = h ( ε ) $\psi _{\varepsilon}(h) = h(\varepsilon )$ , for ε ∈ Θ $\varepsilon ...
Mojtaba Bakherad
doaj   +1 more source

Adaptive Supervised Learning on Data Streams in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint. [PDF]

Stat, 2023
Wang H, Li Q, Liu Y.
europepmc   +1 more source

SNR-enhanced diffusion MRI with structure-preserving low-rank denoising in reproducing kernel Hilbert spaces. [PDF]

Magn Reson Med, 2021
Ramos-Llordén G, Vegas-Sánchez-Ferrero G, Liao C, Westin CF, Setsompop K, Rathi Y.   +5 more
europepmc   +1 more source

Learnability in Hilbert Spaces with Reproducing Kernels

Journal of Complexity, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Uniform Distribution, Discrepancy, and Reproducing Kernel Hilbert Spaces

Journal of Complexity, 2001
The results are related with numerical integration of functions in a reproducing kernel Hilbert space (RKHS). The authors define a notion of uniform distribution and discrepancy of sequences in an abstract set \(E\) in terms of a RKHS of functions on \(E\). In the case of the finite-dimensional unit cube the discrepancies introduced are closely related
Amstler, Clemens, Zinterhof, Peter
openaire   +2 more sources