Regularized least-squares algorithm over the empirical risk minimization
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Updated
Oct 29, 2020 - MATLAB
Regularized least-squares algorithm over the empirical risk minimization
Analysis of income inequality and pollution (water and air) in India.
A set of codes in MATLAB for ODE reconstruction using least-square method
Fitting data using a polynomial obtained by the Least Squares Method
Programming assignment code of Computational Statistics taught at IIT Kharagpur by Prof. Swanand Ravindra Khare
it's a standard approach in regression analysis to approximate the solution of overdetermined systems (sets of equations in which there are more equations than unknowns)
Transdimensional Predictive Least Squares for Online Feature Selection
implementation of least squares method and power method for finding dominant eigenvalue and eigenvector
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
Projects for Systems Modeling & Simulation Course / Aristotle University of Thessaloniki / Summer Semester 2021
Source Code for 'Robust Supervised and Semisupervised Least Squares Regression Using ℓ $$_{2,p}$ -Norm Minimization' (T-NNLS)
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