no code implementations • 15 Jan 2022 • Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
This re-normalization method can help the network avoid divergence of the hidden features.
no code implementations • 4 Oct 2019 • Rakesh Katuwal, P. N. Suganthan
Specifically, we introduce direct connections (feature reuse) from preceding layers to the fore layers of the network as in the original RVFL network.
no code implementations • 30 Jun 2019 • Rakesh Katuwal, P. N. Suganthan, M. Tanveer
The parameters of the hidden layers of the dRVFL are randomly generated within a suitable range and kept fixed while the output weights are computed using the closed form solution as in a standard RVFL network.
no code implementations • 5 Feb 2018 • Rakesh Katuwal, P. N. Suganthan
In this paper, we first present a new variant of oblique decision tree based on a linear classifier, then construct an ensemble classifier based on the fusion of a fast neural network, random vector functional link network and oblique decision trees.