DavideNardone / 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.
☆16Updated 4 years ago
Alternatives and similar repositories for A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection:
Users that are interested in A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection are comparing it to the libraries listed below
- It contains some of the novel feature selection algorithms I've developed☆13Updated 3 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆30Updated last year
- Wrapper Based feature selection using Particle Swarm Optimization☆12Updated 5 years ago
- Tawhid, M.A., Ibrahim, A.M. Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm. Int…☆15Updated 4 years ago
- Online Streaming Feature Selection☆26Updated 2 months ago
- Deep-Feature Selection☆14Updated 5 years ago
- Multi-objective evolutionary algorithms for feature selection☆10Updated 3 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆23Updated 10 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆19Updated 9 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆27Updated 7 years ago
- Feature Selection and Extraction☆19Updated 9 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 7 years ago
- Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.☆21Updated 4 years ago
- A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.☆53Updated 6 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 3 years ago
- A python implementation of a genetic algorithm based approach for cost sensitive learning☆8Updated 5 years ago
- Infinite Feature Selection: a Graph-based Feature Filtering Approach☆39Updated 8 months ago
- ☆30Updated 4 years ago
- A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Opti…☆17Updated 5 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆11Updated 5 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- Python code to prune ensembles☆12Updated 3 years ago
- Ensemble Learning Toolbox☆16Updated 4 years ago
- Optimizing k-means++ initialization using PSO☆17Updated 9 years ago
- Multi-label feature selection using Ant colony optimization☆15Updated 3 years ago
- Feature Selection by Optimized LASSO algorithm☆16Updated 7 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP算法进行微调☆42Updated 8 years ago