Jingwei Too

Last seen: circa un anno fa | Attivo dal 2019

Followers: 6 Following: 0

Professional Interests: Feature Selection, Metaheuristics, Machine Learning, Data Mining, and Signal Processing

Statistica

All

Visualizza badge

Feeds

Inviato

Whale Optimization Algorithm for Feature Selection
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.

oltre 3 anni fa | 8 download |

Inviato

Binary Grey Wolf Optimization for Feature Selection
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.

oltre 3 anni fa | 10 download |

Inviato

Wrapper Feature Selection Toolbox
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc.

oltre 3 anni fa | 13 download |

Inviato

Salp Swarm Algorithm for Feature Selection
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.

quasi 4 anni fa | 3 download |

Inviato

Equilibrium Optimizer for Feature Selection
Application of Equilibrium Optimizer (EO) in the feature selection tasks.

quasi 4 anni fa | 3 download |

Inviato

Binary Dragonfly Algorithm for Feature Selection
Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.

quasi 4 anni fa | 1 download |

Inviato

Ant Colony Optimization for Feature Selection
Implantation of ant colony optimization (ACO) without predetermined number of selected features in feature selection tasks.

quasi 4 anni fa | 2 download |

Inviato

Sine Cosine Algorithm for Feature Selection
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.

quasi 4 anni fa | 4 download |

Inviato

Henry Gas Solubility Optimization for Feature Selection
Application of Henry Gas Solubility Optimization (HGSO) in the feature selection tasks.

quasi 4 anni fa | 4 download |

Inviato

Particle Swarm Optimization for Feature Selection
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.

quasi 4 anni fa | 4 download |

Inviato

Dimensionality Reduction Demonstration
Application of principal component analysis (PCA) for feature reduction.

quasi 4 anni fa | 3 download |

Inviato

Filter Feature Selection Toolbox
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.

quasi 4 anni fa | 9 download |

Inviato

Deep Learning Toolbox
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.

quasi 4 anni fa | 13 download |

Inviato

Neural Network Toolbox
This toolbox contains 6 types of neural networks, which is simple and easy to implement.

quasi 4 anni fa | 4 download |

Inviato

Ant Colony System for Feature Selection
Application of ant colony system (ACS) for feature selection problems.

quasi 4 anni fa | 2 download |

Inviato

Binary Differential Evolution for Feature Selection
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection...

quasi 4 anni fa | 7 download |

Inviato

Binary Tree Growth Algorithm for Feature Selection
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.

quasi 4 anni fa | 2 download |

Inviato

Atom Search Optimization for Feature Selection
Application of Atom Search Optimization (ASO) in the feature selection tasks.

quasi 4 anni fa | 1 download |

Inviato

Binary Particle Swarm Optimization for Feature Selection
Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.

quasi 4 anni fa | 9 download |

Inviato

Binary Harris Hawk Optimization for Feature Selection
The binary version of Harris Hawk Optimization (HHO), called Binary Harris Hawk Optimization (BHHO) is applied for feature selec...

quasi 4 anni fa | 6 download |

Inviato

Genetic Algorithm for Feature Selection
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.

quasi 4 anni fa | 4 download |

Inviato

Binary Atom Search Optimization for Feature Selection
A new feature selection algorithm, named as Binary Atom Search Optimization (BASO) is applied for feature selection tasks.

quasi 4 anni fa | 3 download |

Inviato

Machine Learning Toolbox
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement...

quasi 4 anni fa | 41 download |

Inviato

EMG Feature Extraction Toolbox
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals app...

quasi 4 anni fa | 38 download |

Inviato

EEG Feature Extraction Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) application...

quasi 4 anni fa | 42 download |

Jingwei Too

Statistica

File Exchange

File Exchange

File Exchange

File Exchange

MATLAB Answers

File Exchange

File Exchange

Cody

Cody

MATLAB Answers

MATLAB Answers

Cody

Feeds