kernel_nn {CVEK} | R Documentation |
Generating A Single Matrix-wise Function Using Neural Network
Description
Generate matrix-wise functions for two matrices using neural network kernel.
Usage
kernel_nn(l, p, sigma)
Arguments
l |
(numeric) A numeric number indicating the hyperparameter (flexibility) of a specific kernel. |
p |
(integer) For polynomial, p is the power; for matern, v = p + 1 / 2; for rational, alpha = p. |
sigma |
(numeric) The covariance coefficient for neural network kernel. |
Details
Neural Network Kernels
k_{NN}(x,
x')=\frac{2}{\pi}sin^{-1}\Big(\frac{2\tilde{x}^T
\tilde{x}'}{\sqrt{(1+2\tilde{x}^T \tilde{x})(1+2\tilde{x}'^T
\tilde{x}')}}\Big)
Value
matrix_wise |
(function) A function calculating the relevance of two matrices. |
Author(s)
Wenying Deng
References
The MIT Press. Gaussian Processes for Machine Learning, 2006.
[Package CVEK version 0.1-2 Index]