496 citations · 883 across the 12 of their papers we have counts for
3 papers · 1 filter
How to get the most out of Twinned Regression Methods
Sebastian J. Wetzel
Twinned regression methods are designed to solve the dual problem to the original regression problem, predicting differences between regression targets rather then the targets them…
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm
Sebastian J. Wetzel, Roger G. Melko, Isaac Tamblyn
Twin neural network regression (TNNR) is a semi-supervised regression algorithm, it can be trained on unlabelled data points as long as other, labelled anchor data points, are pres…
Twin Neural Network Regression
Sebastian J. Wetzel, Kevin Ryczko, Roger G. Melko +1
We introduce twin neural network (TNN) regression. This method predicts differences between the target values of two different data points rather than the targets themselves. The s…