A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.

optimization

View on GitHub

13 Stars

5 Forks

13 Watchers

Python Language

agpl-3.0 License

Cost to Build

$657.0K

Market Value

$651.8K

How is this calculated?

Growth over time

4 data points · 2021-07-30 → 2022-03-06

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

Question copied to clipboard

What is the DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection GitHub project? Description: "A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

Clone via HTTPS

git clone https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection.git

Clone via SSH

[email protected]:DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection issue tracker:

Open GitHub Issues

Similar to A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

prepack svgo closure-compiler llvm clean-css simplify imagemin game-programming-patterns webpackmonitor reactopt BayesianOptimization nnvm MTuner webdnn easyengine gosl soot scikit-optimize DietPi faster incubator-kie-optaplanner search-engine-optimization react-ssr-optimization opticss wheels owl meshoptimizer MLBox JuMP.jl eaopt