Sparse random feature networks with in-degree d are equivalent to order-d additive models, and a distribution of in-degrees yields a mixture of additive kernels.
Random Features for Large - Scale Kernel Machines
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Additive function approximation in the brain
Sparse random feature networks with in-degree d are equivalent to order-d additive models, and a distribution of in-degrees yields a mixture of additive kernels.