Deep Learning with Yacine on MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
IEEE

Cauchy-Lanczos Algorithm for Effective Dimension Reduction

Abstract: The aim of dimension reduction techniques is to eliminate unnecessary information from extensive datasets, thereby enhancing the effectiveness of data analysis. Some linear dimension ...
IEEE

Effect of Integrating Variational Autoencoder with SENet on Dimensionality Reduction in Driving Behavior Learning

Abstract: Dimensionality reduction using Variational Autoencoder (VAE) is widely employed in learning diverse state representations, such as in autonomous driving tasks. Conventional VAE-based ...