drwuHUST / MBGD_RDALinks
Matlab source code of the paper "D. Wu, Y. Yuan, J. Huang and Y. Tan*, Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA), IEEE Trans. on Fuzzy Systems, 28(5), pp. 1003-1015, 2020."
☆13Updated 4 years ago
Alternatives and similar repositories for MBGD_RDA
Users that are interested in MBGD_RDA are comparing it to the libraries listed below
Sorting:
- Handing Wang, Yaochu Jin, A Random Forest-Assisted Evolutionary Algorithm %for Data-Driven Constrained Multiobjective Combinatorial Optim…☆18Updated 6 years ago
- Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.☆23Updated 4 years ago
- Multi-label feature selection using Ant colony optimization☆15Updated 4 years ago
- Codes for some of my co-authored journal/conference papers☆123Updated last month
- Multi-view Broad Learning Systerm☆10Updated 3 years ago
- It contains some of the novel feature selection algorithms I've developed☆14Updated 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
- 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
- A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.☆20Updated 7 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆32Updated 5 years ago
- Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradie…☆15Updated 4 years ago
- Deep Autoencoder with Extreme Learning Machines☆14Updated 3 years ago
- An adaptive transfer learning algorithm based on Gaussian Process☆12Updated 4 years ago
- Implementation of an online sequential extreme learning machine with kernels for nonstationary time series prediction.☆12Updated 4 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analy…☆255Updated 3 years ago
- BLS Code☆125Updated 6 years ago
- Matlab implementation of Extreme Learning Machine and variants☆32Updated 7 years ago
- This is a Python package for Broad Learning System.☆19Updated 4 years ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆19Updated 10 years ago
- ☆11Updated 4 years ago
- An Improved Two-Archive Algorithm for Many-Objective Optimization☆12Updated 7 years ago
- Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection☆18Updated last year
- A multi-modal multi-objective evolutionary algorithm using two-archive and recombination strategies (IEEE Transactions on Evolutionary Co…☆19Updated 4 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Matlab codes for Semi-Supervised Shapelets Learning☆17Updated 8 years ago
- MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).☆81Updated 3 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 4 years ago
- Ensemble Learning Toolbox☆17Updated 5 years ago
- A Library of ADMM for Sparse and Low-rank Optimization☆372Updated 4 years ago