FormMe / MultipleKernel-LeastSquares-SupportVectorMachine
Multiple Kernel Least Squares Suport Vector Machine provide classification model.
☆8Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for MultipleKernel-LeastSquares-SupportVectorMachine
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆21Updated 9 years ago
- Ensemble Learning Toolbox☆16Updated 4 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆26Updated 7 years ago
- Emotion Recognition using PSO and SVM☆15Updated 3 years ago
- Feature Selection and Extraction☆19Updated 9 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 9 years ago
- Kernel Sparse Representation for Time Series Classification☆17Updated 10 years ago
- Signal prediction by using LSSVM with PSO and PSR☆24Updated 6 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆29Updated last year
- demonstrate pso-svm in python☆14Updated 5 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆71Updated 3 years ago
- Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.☆20Updated 3 years ago
- Comparative study of Prediction Models for Air Pollutant ( ANN, PCA-ANN, ANFIS, PCA-ANFIS )☆19Updated 7 years ago
- Satellite parameter Interval Prediction☆10Updated 7 years ago
- ☆17Updated 6 years ago
- Bagging, boosting and random forests in Matlab☆24Updated 9 years ago
- Matlab codes for support vector regression (SVR) and revelance vector regression (RVR) analysis with cross validation to evaluate the pre…☆21Updated 4 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☆41Updated 8 years ago
- A multi-feature fusion and any blending(stacking) learning framework based on scikit-learn.☆10Updated 6 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆92Updated 3 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 6 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆54Updated 2 years ago
- Matlab implementation of Extreme Learning Machine and variants☆31Updated 6 years ago
- Classification and Clustering using Support Vector Machine and Enhanced Fuzzy C-Means☆8Updated 7 years ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆18Updated 9 years ago
- This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.☆22Updated 3 years ago
- Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…☆45Updated 6 years ago
- A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.☆22Updated 6 years ago