MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
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Updated
Nov 20, 2018 - MATLAB
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.
Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
Knowledge elicitation when the user can give feedback to different features of the model with the goal to improve the prediction on the test data in a "smal n, large p" setting.
MGLM Toolbox for Matlab
This work presents the application of machine learning models in order to obtain a sparse governing equation of complex fluid dynamics problems.
This repository stores my personal projects related to data science studies.
The Method of Entropic Regression, sparse system identification method based on causality inference of complex networks.
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