JingweiToo / Machine-Learning-ToolboxLinks
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
☆23Updated 4 years ago
Alternatives and similar repositories for Machine-Learning-Toolbox
Users that are interested in Machine-Learning-Toolbox are comparing it to the libraries listed below
Sorting:
- This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN☆13Updated 6 years ago
- This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to i…☆179Updated 4 years ago
- 使用libsvm进行分类☆16Updated 5 years ago
- Feature Selection and Extraction☆19Updated 10 years ago
- Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.☆35Updated 4 years ago
- MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN☆203Updated 2 years ago
- Ensemble Learning Toolbox☆17Updated 5 years ago
- Matlab implementation of Extreme Learning Machine and variants☆32Updated 7 years ago
- 使用遗传算法优化支持向量机/Optimization of support vector machine using genetic algorithm☆38Updated 3 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer☆82Updated 6 years ago
- MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analy…☆255Updated 3 years ago
- Grey wolf Optimization☆15Updated 5 years ago
- The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.☆11Updated 4 years ago
- MATLAB Implementation of Twin Support Vector Machines☆14Updated 7 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆28Updated 7 years ago
- Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.☆93Updated 3 weeks ago
- MATLAB Implementation of SMOTE related algorithms☆31Updated last year
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Hybrid whale optimization algorithm with gathering strategies☆15Updated 3 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆72Updated 4 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆19Updated last year
- Wrapper Based feature selection using Particle Swarm Optimization☆12Updated 6 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆25Updated 2 years ago
- Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neura…☆358Updated 8 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 9 years ago
- MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).☆81Updated 3 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆30Updated 2 years ago
- This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such a…☆32Updated 4 years ago
- Matlab codes for support vector regression (SVR) and revelance vector regression (RVR) analysis with cross validation to evaluate the pre…☆23Updated 5 years ago