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In this work, kernel partial least squares (PLS) was applied to predict inferentially key process variables in an industrial cokes wastewater treatment plant.
In this work kernel density estimation is used to generate probability density functions ( pdfs ) for bond length, bond angle and torsion angle histograms derived from the CSD.
Therefore, in our work, kernel function technique is applied to project testing sample into higher-dimensional space so as to alter the distributed structures of the samples.
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In this work, different kernels namely linear kernel, polynomial kernel, sigmoid, and radial basis function (RBF) kernel were used, and the effects of these kernel functions on SVR model based on GS-optimization method are summarized in Table 6.
In this work, the kernel learning (KL) framework is introduced to model and online predict the distributed product outputs.
Johnson's stepfather has symptoms of Alzheimer's, and seeing his decline as Johnson puts it, "watching him lose his humanhood"—has motivated his work with Kernel.
In this work, a kernel algorithm generalized the Hebbian rule and the energy function of Hopfield networks, while capacity estimations generalized Amit's approach [1].
Since it subdivides the representation problem into two subproblems, our approach makes use of previous work on kernels for molecular graphs and kernels for biological targets.
In most previous works the kernel SVM method was used, but the input of kernel SVM is the kernel similarity matrix for compound-protein pairs [ 5, 6], which makes it difficult to apply the kernel SVM to large-scale interaction prediction.
The Charm++ paradigm for overlapping computing and computation also works for the overlap of data transfer from the host to the GPU, GPU gravity kernel work, and tree walk work done on the host CPUs.
In this work, the default kernel is the Gaussian kernel, κ x,x ′)= exp(−||x−x ′||2/2σ 2), where σ is the kernel size.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com