2 papers
stat.ML2022
Consensual Aggregation on Random Projected High-dimensional Features for Regression
Sothea Has
In this paper, we present a study of a kernel-based consensual aggregation on randomly projected high-dimensional features of predictions for regression. The aggregation scheme is…
stat.AP2019
A clusterwise supervised learning procedure based on aggregation of distances
Aurélie Fisher, Mathilde Mougeot, Sothea Has
Nowadays, many machine learning procedures are available on the shelve and may be used easily to calibrate predictive models on supervised data. However, when the input data consis…