Numerical methods for estimating the Bregman distance decay rate using cylindrical shearlet regularization for dynamic tomography

A program to invert aerosol size distributions measurements using a range of methods, including Twomey's iterative method and Tikhonov regularization.

This Repository contains Solutions to Lab Assignments/slides and my personal Notes of the Machine Learning (2022) from Stanford University on Coursera taught by Andrew Ng.

Computational Ultrasound Imaging Toolbox for MATLAB

Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020

Optimisation and algorithm project. I) L1, L2, and L2^2 regularisers in optimal trajectory synthesis; II) Logistic data classification; III) Gradient methods.

机器学习-Coursera-吴恩达- python+Matlab代码实现

MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

Minimum working example for using the Sorted L1 Norm in a regression and mean-variance framework. The codes are free to use for research purposes only with the propper citation. Commercial use is strictly forbidden and the rights remain with the authors. For citing purposes please refer to the JBF version: https://www.sciencedirect.com/science/a…

Code for the paper E. Raninen and E. Ollila, "Bias Adjusted Sign Covariance Matrix," in IEEE Signal Processing Letters, vol. 29, pp. 339-343, 2022, doi: 10.1109/LSP.2021.3134940.

Code for the paper E. Raninen, D. E. Tyler and E. Ollila, "Linear pooling of sample covariance matrices," in IEEE Transactions on Signal Processing, Vol 70, pp. 659-672, 2022, doi: 10.1109/TSP.2021.3139207.

My solutions to the programming assignments of the machine learning course.

Handwritten Digit Recognition - Neural Network - minimizing the cost function (Backpropagation) ---- OCTAVE ----- the exercise details are in ex4.pdf in the repo.

With OCTAVE - details in ex2.pdf in the repo.

Predicting whether a student passes or not in an exam based on historical experience of marks in subjects by building a classification model with Logistic Regression .

Poisson GLM for neural data analysis

Penalized tensor regression for whole brain connectivity.

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

Solutions for the Coursera Machine Learning Course (Andrew Ng).

Algorithm for multivariate calibration and maintenance (analytical chemistry)