Bilinear generating functions in Kernel sparse modeling and learning: Towards the kernel engineering
Abstract: As the cornerstone of nonlinear kernel learning algorithms, the kernel functions play a major role in sparse modeling via learning from data, as it largely determines the performance of a ...
Abstract: This work proposes a new approach to find the generating function (GF) of the Zernike polynomials in two dimensional form. Combining the methods of GFs and discrete-time systems, we can ...
Please note: synthcity does not handle missing data and so these values must be imputed first HyperImpute can be used to do this.
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