搜索资源列表
feature_selection
- 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to cho
SFS
- 次优搜索算法中常用的FSS算法，即顺序前进算法，上种自上而下的搜索方法。-suboptimal search algorithm commonly used algorithm of the FSS, the order ahead algorithm, on the kinds of top-down search method.
feature_selection
- 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to cho
Verver_FS_Version_5.1.6
- Feature Selection using matlab
Version_5.1.8_Out
- 对图像进行特征提取，构造合适的特征集合，包括SFS,SBS,SFFS等-failed to translate
featureselection
- 特征选择方法,matlab实现增 l减 r法 顺序后退法 SFFS 特征选择 顺序前进法特征选择-feature selection
FeatureSelection
- Feature Selection using Matlab. The DEMO includes 5 feature selection algorithms: • Sequential Forward Selection (SFS) • Sequential Floating Forward Selection (SFFS) • Sequential Backward
audio-qualities
- 1、顺序后退法特征选择算法 2、SFFS 特征选择算法 3、ISD算法 4、LLR算法 5、CZD算法-1, the order backward method of feature selection algorithm 2, SFFS feature selection algorithm 3, ISD algorithm 4, LLR algorithm 5, CZD algorithm
features-dimensionality-reduction
- 特征降维方法，其中包含有典型的特征组合方式——PCA和特征选择中的SFFS，SBS，SFS。共四类常用的特征降维方式。-different features dimensionality reduction methods.
SFFS_Search
- sffs search implementation
feature_selection
- 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to cho
code-Feature-Selection-using-Matlab
- 主要完成图像特征出提取，包括5个特征选择算法：SFS，SBS，SFBS-Descr iption The DEMO includes 5 feature selection algorithms: Sequential Forward Selection (SFS) Sequential Floating Forward Selection (SFFS) Sequential Backward Selection (SB
查IP软件
- 打开输入qq换个密码,hdadadbiereifhh俄日foe，攻击ip地址(sjkfdfe lewrn edsi sffs.sfvns.)