KSCNs apply kernel ridge regression on top of supervised random SCN features and report improved regression accuracy and stability on three datasets.
Explaining deep neural networks and beyond: A review of methods and applications,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Kernel Stochastic Configuration Networks for Nonlinear Regression
KSCNs apply kernel ridge regression on top of supervised random SCN features and report improved regression accuracy and stability on three datasets.