Simulations show that kernel regression methods achieve linear storage capacity scaling with network size in Hopfield networks when kernel width is scaled as gamma N increasing with N.
Storage capacity of kernel associative memories
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Quantitative Attractor Analysis of High-Capacity Kernel Hopfield Networks
Simulations show that kernel regression methods achieve linear storage capacity scaling with network size in Hopfield networks when kernel width is scaled as gamma N increasing with N.