Results 51 to 60 of about 535,598 (86)
Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC [PDF]
Kernel density estimation for multivariate data is an important technique that has a wide range of applications in econometrics and finance. However, it has received significantly less attention than its univariate counterpart.
Maxwell L. King, +2 more
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Application of kernel-based Bayesian optimization in 3D CZT SPECT reconstructions [PDF]
openApplication of kernel-based Bayesian optimization in 3D CZT SPECT reconstructionsApplication of kernel-based Bayesian optimization in 3D CZT SPECT ...
PASTRELLO, LUCA
core
Transformation kernel density estimation of actuarial loss functions [PDF]
A transformation kernel density estimator that is suitable for heavy-tailed distributions is discussed. Using a truncated Beta transformation, the choice of the bandwidth parameter becomes straightforward.
Montserrat Guillen (Universitat de Barcelona) +2 more
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VALUE OF INCREASING KERNEL UNIFORMITY [PDF]
Kernel uniformity is an important quality attribute that can now be measured at low cost. This study analyzes the profitability of sorting to increase wheat kernel uniformity.
Yoon, Byung-Sam +2 more
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A Kernel Wrapper for Phoneme Sequence Recognition
We describe a kernel wrapper, a Mercer kernel for the task of phoneme sequence recognition which is based on operations with the Gaussian kernel, and suitable for any sequence kernel classifier. We start by presenting a kernel-based algorithm for phoneme
Keshet, Joseph +3 more
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Exact Results for Non-Newtonian Transport Properties in Sheared Granular Suspensions: Inelastic Maxwell Models and BGK-Type Kinetic Model. [PDF]
Entropy (Basel)Gómez González R, Garzó V.
europepmc +1 more source
Making Indefinite Kernel Learning Practical [PDF]
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and see why this paradigm is successful for many pattern recognition problems ...
Mierswa, Ingo
core
Kernel-based tracking from a probabilistic viewpoint
, 2007 Kernel-based tracking from a probabilistic ...
Quang Anh Nguyen (9605711) +2 more
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Communications in Nonlinear Science and Numerical SimulationMohammed Al-Refai +2 more
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This technical comment examines two points in Section 4 of Alkandari, Loutchko and Luchko, Anomalous Diffusion Models Involving Regularized General Fractional Derivatives with Sonin Kernels (Fractal and Fractional 9 (2025), 363; DOI: 10.3390/fractalfract9060363). For the equation on R^n, the total mean-squared displacement is 2n times the time integral
openaire +1 more source