This is an implementation of improved Fuzzy Rough QuickReduct algorithm
-
Updated
Oct 25, 2018 - MATLAB
This is an implementation of improved Fuzzy Rough QuickReduct algorithm
This is an implementation of Fuzzy Rough Dependency Degree (FRDD) to calculate the importance of selected feautres
基于SparseEA的特征选择方法在毒性分类中的应用
My capstone project report from 2015.
Source Code for 'Sparse Feature Selection via Fast Embedding Spectral Analysis' (PR)
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
Anti-Noise Muiti-View Feature Selection With Sample Constraints, 2023 ICDM
This is the source code of our recent work "Towards an Artificial Training Expert System for Basketball" published in ELECO2017.
Network-based Cancer Drug Feature Selection and Modeling
Let's play with data mining and machine learning concepts!
FBGA-MLP model (hybrid machine learning model)
戴中斌硕士毕业论文《面向高维优化的群体分布性研究及在特征选择中应用》相关代码
Demo of using feature selection with metaheuristic algorithms
Selecting the best time-domain EMG features using the novel and some classical feature selection algorithms.
《基于遗传算法的特征选择方法在短时强降水预报中的应用》论文代码
Jump Predictive Least Squares for Online Feature Selection
source code of my paper "Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization"
Linear Regression Feature Selection and Trainer
A Matlab implementation of a multi-objective optimization algorithm called GADMS for key quality characteristic selection (feature selection).
Add a description, image, and links to the feature-selection topic page so that developers can more easily learn about it.
To associate your repository with the feature-selection topic, visit your repo's landing page and select "manage topics."