kernel


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ker·nel

(ker'nĕl),
The central portion of the software expression of a mathematical algorithm, as in computed tomography.
[O.E. cyrnel, a little corn]
References in periodicals archive ?
After cooking corn kernels briefly with garlic, salt, and pepper, some of the corn is set aside while most go into a food processor bowl with pine nuts, Parmesan.
Indian cashew industry is heavily dependent on the imported raw cashew nuts (about 50% of requirement) for fulfilling domestic and export demand for cashew kernels. Department of Agriculture, Cooperation and Farmers Welfare (DAC&FW), under Mission for Integrated Development of Horticulture (MIDH) and Rashtriya Krishi Vikas Yojana (RKVY), has drawn up strategies to increase domestic production by massive area expansion of cashew and replacing of senile cashew plantations with high yielding varieties in traditional and non-traditional states.
Section 2 reviews the background of extreme learning machine, extreme learning machine with kernel and multiple kernel learning.
Colonel Kernel Popcorn: Rod Taylor, 512-825-8709, colonelkernelpopcorn@gmail.com
Our XtremeScale NICs with Onload kernel bypass software have a proven track record of accelerating Linux-based application performance by reducing kernel IO, said Ahmet Houssein, Vice President of Marketing at Solarflare.
Founded in 2000 and headquartered in Chicago, Illinois, Kernel Season's is a creator of branded popcorn seasoning.
Nonetheless, the GMKL algorithm is just specialized in the combination of the sparse MKL method and the nonsparse kernel learning method, [L.sub.2]-norm MKL.The research made a contribution to the merging of the [L.sub.1]- and [L.sub.2]-norm MKL, and the GMKL in a general model [9].
The nonlinear regression can be determined when the kernel function is selected.
where i represents the class label, K([E.sub.i] [E.sup.T.sub.i]) = ([phi]([E.sub.i]), [phi]([E.sub.i])) represents the kernel function, and () denotes the inner product.
Kernels from two wild fruits in Mozambique, Adansonia digitata and Sclerocarya birrea, were selected for this study to determine their amino acid and fatty acid composition, as well as the monomeric composition of their dietary fibre.
The kernel estimation is an important step in the deblurring process, since the kernel will impact directly on the restoration of latent image.