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The new kernel is based on an adaptive emerge coefficient to realize the detail layer determination.
The adaptive bandwidth selection for the kernel is based on cross validation.
This kernel is based on DTW and geodesic distances on the unit n-sphere.
If you read Linus's biography, he is clear that he thought very little of Minix… The Minix kernel is based on a micro kernel design while the Linux kernel is based on a monolithic design.
Its kernel is based on a new set of neuro-fuzzy systems of the ART family: FasArt and RFasArt.
The first kernel is based on the notion of edit distance while the second is based on subtrees enumeration.
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We evaluate the performance of the Spectrum kernel [ 43], Wildcard kernel [ 43], and the Local Alignment kernel [ 24], replacing K in Equation 1. Essentially, spectrum-based kernels (including the Wildcard kernel) are based on the sharing of short sequence segments (of a specified length, with provision of minor differences in the case of the Wildcard kernel).
We attribute this to the nature of the canonical-correlation kernel which is based on the notion of principal angle.
Moreover, considering the underlying geometry of given time series, we propose to use a local kernel that is based on geodesic distances between manifold points on a unit n-sphere (mathcal {S}^{n}) in (6).
Assuming X = [ x 1, x 2, …, x M ] ∈ R K × M to be the sparse matrix via the OMP algorithm, the kernel trick is based on the mapping f : x i → F : κ x,·), which maps each element of input space to the kernel feature space.
Two key ingredients of the proposed method are a statistical DR that achieves supervised and nonlinear reduction, and a new kernel that is based on Markov chain theory and particularly suitable for qualitative SNP data.
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