3 papers
cs.LG2024
Study Features via Exploring Distribution Structure
Chunxu Cao, Qiang Zhang
In this paper, we present a novel framework for data redundancy measurement based on probabilistic modeling of datasets, and a new criterion for redundancy detection that is resili…
cs.LG2024
Feature Selection via Maximizing Distances between Class Conditional Distributions
Chunxu Cao, Qiang Zhang
For many data-intensive tasks, feature selection is an important preprocessing step. However, most existing methods do not directly and intuitively explore the intrinsic discrimina…
cs.LG2024
A Contrast Based Feature Selection Algorithm for High-dimensional Data set in Machine Learning
Chunxu Cao, Qiang Zhang
Feature selection is an important process in machine learning and knowledge discovery. By selecting the most informative features and eliminating irrelevant ones, the performance o…