Patent-pending ensemble machine-learning pipeline predicting industrial pollution using four aquatic and demographic variables across 65 rivers (2015-2024).

Hyperspectral imaging (HSI) captures rich spectral data across hundreds of contiguous bands for diverse applications. Dimension reduction (DR) techniques are commonly used to map the first three ...

ABSTRACT: We introduce the Kernel-based Partial Conditional Mean Dependence, a scalar-valued measure of conditional mean dependence of Y given X , while adjusting for the nonlinear dependence on Z .

In order for refit and predict to work properly, dimensionality reduction must be included in the sklearn Pipeline. I am currently wrapping up input and output Pipelines (which represent the ...

Abstract: The purpose of this study is to research and explore the Data Dimension, and propose the data feature & selection of dimensionality reduction technique, in order to help users understand the ...