IEEE

Sequential training of semi-supervised classification based on sparse Gaussian process regression

Abstract: Gaussian process regression (GPR) is a very important Bayesian approach in machine learning applications. It has been extensively used in semi-supervised learning tasks. In this paper, we ...
IEEE

Classification of Imbalanced Tumor Gene Expression Data Based on Weighted Gaussian Process

Abstract: Tumor gene expression data is characterized with high dimension, small samples and imbalance. Gaussian Process Classification presents good applicability to high-dimensional and small sample ...
GitHub

ginnoro2/Gaussian-Process-Classification

This project covers comprehensive regression analysis including Linear Regression, Polynomial Regression, Model Selection, and Gaussian Process Regression with LIDAR data analysis. Advanced_ML_Project ...
GitHub

California Housing Classification with Gaussian Process

Python 3.9+ scikit-learn 1.4.2 pandas 2.2.1 numpy 1.26.4 matplotlib 3.8.4 ...