drwuHUST / MBGD_UR_BNLinks
Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization," IEEE Trans. on Fuzzy Systems, 28(12):3065-3075, 2020." Python source code is available at https://github.com/YuqiCui/TSK_BN_UR
☆15Updated 4 years ago
Alternatives and similar repositories for MBGD_UR_BN
Users that are interested in MBGD_UR_BN are comparing it to the libraries listed below
Sorting:
- Matlab source code of the paper "D. Wu, Y. Yuan, J. Huang and Y. Tan*, Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gra…☆13Updated 4 years ago
- A pytorch implementation of TSK fuzzy sytems.☆17Updated 5 years ago
- dempster_shafer theory is used to integrate the RSS data processed by multiple machine learning algorithms☆16Updated 7 years ago
- Takagi-Sugeno-Kang Fuzzy System☆18Updated 5 years ago
- ☆51Updated 3 years ago
- Methods for generating synthetic minority data for multivariate temporal data to improve classification accuracy.☆14Updated 2 years ago
- Multi-label feature selection based on fuzzy rough sets☆14Updated 10 years ago
- Multivariate Dictionary Learning Algorithm☆24Updated last year
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 4 years ago
- The paper "Triple-shapelet Networks for Time Series Classification"☆15Updated 5 years ago
- Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.☆23Updated 4 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- Scikit-learn compatible Kernel Entropy Component Analysis in Python☆13Updated 9 years ago
- ☆10Updated 5 years ago
- Fuzzy Neural Network TSK (Takagi-Sugeno-Kang) with hybrid training and C-Means clustering.☆7Updated 7 years ago
- Infinite Feature Selection: a Graph-based Feature Filtering Approach☆42Updated last year
- Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification☆21Updated 3 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- ☆16Updated last year
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 3 years ago
- ☆34Updated last year
- codes for paper: ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks☆14Updated 2 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Motor Failure Prediction using metaclassifier and Genetic Algorithms☆10Updated 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
- Bagging, boosting and random forests in Matlab☆25Updated 10 years ago
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆80Updated last year
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆32Updated 5 years ago
- ☆39Updated 3 years ago
- An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks☆38Updated 6 years ago