Builds a sparse covariance matrix given a set of model parameter locations (x,z), and a correlation kernel
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Updated
Feb 17, 2023 - Julia
Builds a sparse covariance matrix given a set of model parameter locations (x,z), and a correlation kernel
Homework and assignments for ENPM 673
This repository contains exercises from the Machine Learning course.
Testing equality of variance and covariance matrix
Python ML/AI repository
FIFA'19 datasets Analysis
The project focused on the analysis of foxes from 3 different farms and the subsequent presentation of trait heritability results, genetic trends, breeding values and relationship matrix.
Ledoit Wolf shrinkage for covariance matrices in Java
This R package is a wrapper around the popular "glasso" package with built-in cross validation and visualizations
This repository is a comprehensive archive of projects and assignments undertaken for the Pattern Recognition course (TIP8311) at the Federal University of Ceará as part of my Master's curriculum.
Penalized precision matrix estimation
Shrinking characteristics of precision matrix estimators
Contains some Test of Statistics
Practical Implementation of Principle Component Analysis in identifying faces.
Covariance/Correlation for big data in base R
Matlab code for performing a weighted linear regression in matlab and getting out all the important stuff
Deliverables relating to the Individual Assigned Practical Task (A Guide to Principal Component Analysis) University Unit
Taylor and Francis Book Publication (Routledge) : DIMENSIONALITY REDUCTION ALGORITHMS IN APPLIED MACHINE LEARNING
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