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For a successful SVM model, kernel parameters of SVM and feature subset selection are the two most important factors affecting the prediction accuracy.
However, if the simple MKL is used for estimating the parameters of the linear combination of kernels, successful performance of the error degree estimation is not possible.
For a successful SVM model, the kernel parameters for SVM and feature subset selection are the most important factors affecting prediction accuracy.
If you can find that collection of people… that is the kernel of a successful company".
The "secret" will explain the group's proposal for "successful" corn popping, with success defined as maximizing the number of popped kernels out of the original 25 kernels.
This model is based on criteria for the phases of a successful ignition process, from the first kernel formation to the early flame propagation towards the injector.
In this study, plasma assisted ignition using multi-channel nanosecond discharge (MND) is proposed to induce a large ignition kernel and to achieve successful ignition at low pressures.
The nonparametric kernel density estimation method is successful in this paper.
Therefore, in order to achieve successful ignition at low pressure conditions, large ignition kernel should be generated.
Successful ignition is achieved only when the ignition kernel can propagate outwardly beyond the so-called critical flame initiation radius.
The Optimal Assignment Kernel (OAK) [1] is a successful similarity measure, although it is not a valid kernel, since the function is not positive definite [2].
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