GitHub

phanduyhoang/Gaussian-Mixture-matrix-teaching-material

Gaussian Mixture Models (GMM) are a powerful clustering algorithm that goes beyond traditional methods like K-Means by modeling clusters as Gaussian distributions. GMM offers flexibility to detect ...
GitHub

Gaussian-Processes-Regression-Tutorial

@misc{wang2020intuitive, title={An Intuitive Tutorial to Gaussian Processes Regression}, author={Jie Wang}, year={2020}, eprint={2009.10862}, archivePrefix={arXiv}, primaryClass={stat.ML} } The ...
IEEE

Gaussian mixture matrix factorization model for robust collaborative recommendation

Abstract: Collaborative filtering has emerged as a promising recommendation technique for recommender systems. One of the widely-used techniques for collaborative filtering is matrix factorization.
Visual Studio Magazine

Computing the Determinant of a Matrix Using Gaussian Elimination to Row Echelon Form with C#

One of the fundamental operations in machine learning is computing the inverse of a square matrix. But not all matrices have an inverse. The most common way to check if a matrix has an inverse or not ...
IEEE

Manifold Gaussian Variational Bayes on the Precision Matrix

Abstract: We propose an optimization algorithm for variational inference (VI) in complex models. Our approach relies on natural gradient updates where the variational space is a Riemann manifold. We ...