Sentence examples for mixed kernel from inspiring English sources

In this paper, we propose a novel method named Mixed Kernel CCA (MKCCA) to achieve easy yet accurate implementation of dimensionality reduction.

By introducing a mixed kernel function and the proper parameters, a new Hilbert-type integral inequality with a best constant factor in the whole plane is derived.

In this study, a mixed kernels function (MKF) based support vector regression (SVR) model was developed and used to predict the MMP for both pure and impure CO2 injection cases.

The main purpose of this article is to establish a half-discrete inequality with the mixed homogeneous kernel of real number degree.

This paper presents high-speed movies of combustion luminosity during the interaction of a laminar vortex with a spark-generated pre-mixed flame kernel in a quiescent combustion chamber.

Gianola et al. (2006) proposed a semi-parametric kernel mixed model approach in which they combined the nice features of a nonparametric model (described above) with a mixed model framework.

Additionally, we propose to use a mixed precision Krylov kernel to improve the convergence by reducing round-off error.

The above configuration has been compared with a configuration where fissile (neptunium plutonium oxide from Light Water Reactors irradiated fuel) and fertile (natural thorium oxide) fuels are homogeneously mixed in the kernel of ordinary TRISO particles.

Reconstruction goal is make a matrix ({varvec{a}}_0) as (({varvec{eta }}_0^A,{varvec{theta }}^B_0)) denoted by the mixed coordinates, whose kernel structure matrix is ({mathcal {K}}_{mathrm{any}}) and whose marginal sum is ({varvec{eta}}^A_{mathrm{any}}) corresponding to (AV times {varvec{FL}}) and (AV times {varvec{BL}}) in SDA formulation.

Other strategies include stepwise selection [ 5], Bayesian shrinkage methods [ 6], and semiparametric procedures, such as mixed models with kernel regressions [ 7, 8].

To balance the tang of the cheese, I mixed in corn kernels.