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Both number and type of parameters to be optimized are determined by the kernel function.
The basic idea is to transfer the original space into a new space (varPhi (x)) by the kernel function.
The basic equations of fluid mechanics are transformed into the SPH equation, which can be evaluated by the kernel function.
Moreover, those methods all need to perform the main computation by the kernel function in linear feature space, which increases the computational cost.
Meanwhile, the article discusses the effect of feature extraction and classification that caused by the kernel function and the different options of its parameters.
The values generated by the kernel function were analyzed using PCA, which could reasonably reduce the number of variables to produce components with minimal distortion of the data.
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By applying the kernel function, the sample is mapped linearly to the high-dimensional feature space.
Because of the increase in dimensionality, the mapping function Φ z i,j ) is made implicitly by using the kernel function satisfying Mercer's theorem.
In this paper, we propose Local Weighted Matrix Factorization (LWMF) for top-n recommendation by employing the kernel function to intensify local property and the weight function to model user preferences.
Third, we produce a set of orthonormal basis functions for the space solution by using the kernel function, a boundary operator, a dense sequence of nodal points in the domain of solution space and Gram-Schmidt orthogonalization process.
We propose Local Weighted Matrix Factorization (LWMF), integrating LLORMA [7] with WMF [10] in recommending by employing the kernel function to intensify local property and the weight function to intensify modeling user preference.
More suggestions(15)
by the crwl function
by the belief function
by the kernel slack
by the kernel bandwidth
by the kernel g_sigma
by the fitdistr function
by the scoring function
by the inclinometer function
by the kernel q
by the pedotransfer function
by the kernel mask
by the kernel matrix
by the kernel model
by the loss function
by the linkage function
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