This project covers comprehensive regression analysis including Linear Regression, Polynomial Regression, Model Selection, and Gaussian Process Regression with LIDAR data analysis. Advanced_ML_Project ...
Abstract: Gaussian process classifiers (GPCs) have recently attracted more and more attention from the machine learning community. However, because the posterior needs to be approximated by using a ...
Abstract: The future 6G-enabled IoT will facilitate seamless global connectivity among ubiquitous wireless devices, but this advancement also introduces heightened security risks such as spoofing ...
This project explores Gaussian Mixture Models (GMMs) through both synthetic and real-world datasets — starting with the classic two moons and scaling up to the MNIST handwritten digits dataset. Along ...
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