DavideNardone / A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-SelectionLinks
A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
☆16Updated 5 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
Sorting:
- It contains some of the novel feature selection algorithms I've developed☆13Updated 4 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- Online Streaming Feature Selection☆29Updated 2 months ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆32Updated 2 years ago
- Feature Selection and Extraction☆19Updated 10 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 5 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆30Updated 10 years ago
- Matlab codes for Semi-Supervised Shapelets Learning☆17Updated 9 years ago
- Scikit-learn compatible Kernel Entropy Component Analysis in Python☆13Updated 9 years ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆19Updated 10 years ago
- Wrapper Based feature selection using Particle Swarm Optimization☆12Updated 6 years ago
- This repository contains the source code for four oversampling methods that I wrote in MATLAB: 1) SMOTE 2) Borderline SMOTE 3) Safe Level…☆37Updated 9 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Ensemble Learning Toolbox☆17Updated 5 years ago
- Implementation of incremental learning algorithms for Matlab.☆18Updated 11 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆12Updated 6 years ago
- MATLAB Implementation of SMOTE related algorithms☆32Updated last year
- Python code to prune ensembles☆13Updated 3 years ago
- An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…☆43Updated 8 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆155Updated 6 years ago
- Coevolutionary Multi-task learning for Dynamic Time Series prediction☆15Updated 4 years ago
- Feature fusion using Discriminant Correlation Analysis (DCA)☆65Updated 5 years ago
- Implementation of Accurate Online Support Vector Regression in Python.☆85Updated 6 years ago
- Ordinal-patterns-based analysis toolbox (permutation entropy, robust permutation entropy, conditional entropy of ordinal patterns, ordina…☆17Updated 7 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 7 years ago
- Multi-objective evolutionary algorithms for feature selection☆10Updated 4 years ago
- BLS Code☆136Updated 7 years ago
- A MATLAB/OCTAVE library for Multi-Label Classification☆35Updated 7 years ago