Kernel Ridge Regression learns Hopfield network weights in closed form, matching the recall of Kernel Logistic Regression up to a storage load of 1.5 while training up to 20 times faster.
MacKay, Information Theory, Inference & Learning Algorithms, Cambridge University Press, USA
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks
Kernel Ridge Regression learns Hopfield network weights in closed form, matching the recall of Kernel Logistic Regression up to a storage load of 1.5 while training up to 20 times faster.