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feature_selection
- 两个源文件进行最小冗余和最大相关特征选择，主要用于图像特征选择里面-Two source files and the maximum correlation minimum redundancy feature selection, which is mainly used for image feature selection
progarmlab4
- The Principal component analysis, is a standard technique used for data reduction in statistical pattern recognition and signal processing A common problem in statistical pattern recognition is feature selection or feature extraction. Feature selec
Multi_fsga
- This a feature selection program. -This is a feature selection program.
paper
- paper about Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes
FeatureSelection_MachineLearning
- Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for
FEATURE-SELECTION-FOR-A-DTW-BASED
- FEATURE SELECTION FOR A DTW-BASED SPEAKER VERIFICATION SYSTEM
A-Survey-of-Feature-Selection
- 对特征选择方法的发展历史和现状进行了跨学科的广泛调研，在此基础上总结提出了通用的方法定义和算法流程框架-A unifring approach to the definition of the feature selection problem and corresponding algorithm design framework are proposed based on a complete survey of a wide range of interdisciplinary res
Feature-selection
- 模式识别领域中特征选择原理，代码及操作过程-In the field of pattern recognition feature selection principle, the code and the operation of the process
Two-feature-selection-algorithm
- 对“data4.m”数据，采用两种特征选择算法，选择2个特征。并且进行效果比较-"Data4.m" data, using the two feature selection algorithm, select two characteristics. And the effects comparison
A-GA-based-feature-selection-and-parameters-optim
- Support Vector Machines, one of the new techniques for pattern classifi cation, have been widely used in many application areas. The kernel parameters setting for SVM in a training process impacts on the classifi cation accuracy. Feature
Rough-Set-based-Feature-Selection
- 离散人工蜂群算法用于解决特征选取问题，可以学习文章中将群智能算法离散化的方法，以便于解决离散问题。-Discrete artificial bee colony algorithm for solving feature selection problem, you can learn article will swarm intelligence algorithm discretization method, in order to solve the discrete problem.
Feature-selection-and-extraction
- 武汉大学《模式识别导论》特征的选择与提取的课件-feature selection and extraction of 《pattern recognition introductory》from Wuhan University.
Feature-selection-
- 基于基因遗传算法的特征选择程序 高喊制图功能,直接给出匹配耦合-Feature selection based on GA in Matlab
feature-selection-by-aco
- feature selection by aco
code-Feature-Selection-using-Matlab
- 一种基于matlab的神经网络编码特征选择。特征点提取。-Based on neural network matlab coding feature selection. Feature point extraction.
[2012]-A-hybrid-feature-selection-for-fault-predi
- [2012] A hybrid feature selection for fault prediction
feature-selection-GA
- 基因演算法運用在特徵選取上，其中包含主程式、副程式與資料集，可讓使用者快速學習上手。個人認為程式寫得過於複雜，但週延仔細。-Genetic algorithms used in the feature selection, which contains the main program, subroutines and data sets, allowing users to quickly learn to use. Programs written personally think is t
feature-selection-l2p
- 利用矩阵l2p范数来做特征选择的最新文章。-A unified algorithm for mixed l 2，p-minimizations and its application in feature selection
Relief-feature-selection
- Relief 特征选择算法matlab实现-Relief feature selection
Binary-Genetic-Algorithm-Feature-Selection-(2).zi
- This submission contains (1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks. (2) MATLAB code to do Feature Selection Using Genetic Algorithm. NB: (i) This code is short BUT it works