Search - Sequential forward selection

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[Graph program] feature_selection DL : 0: 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 choose the procedure
Update : 2008-10-13 Size : 4.57kb Publisher : 夏玉
[Other resource] sequential_forward_selection DL : 1: 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。
Update : 2008-10-13 Size : 1.02kb Publisher : limingxian
[Graph program] feature_selection DL : 1: 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 choose the procedure
Update : 2025-02-19 Size : 4kb Publisher : 夏玉
[matlab] sequential_forward_selection DL : 0: 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。-The matlab own procedures. For Pattern Recognition Feature Extraction. Feature Extraction is the Sequential Forward Selection method, referred to as sfs. It can be combined with Maximum-Likelihood-Classifier classifier used.
Update : 2025-02-19 Size : 1kb Publisher : limingxian
[AI-NN-PR] FeatureSelection DL : 0: Feature Selection using Matlab. The DEMO includes 5 feature selection algorithms: • Sequential Forward Selection (SFS) • Sequential Floating Forward Selection (SFFS) • Sequential Backward Selection (SBS) • Sequential Floating Backward Selection (SFBS) • ReliefF Two CCR estimation methods: • Cross-validation • Resubstitution After selecting the best feature subset, the classifier obtained can be used for classifying any pattern. Figure: Upper panel is the pattern x feature matrix Lower panel left are the features selected Lower panel right is the CCR curve during feature selection steps Right panel is the classification results of some patterns. This software was developed using Matlab 7.5 and Windows XP. Copyright: D. Ververidis and C.Kotropoulos AIIA Lab, Thessaloniki, Greece, jimver@aiia.csd.auth.gr costas@aiia.csd.auth.gr-Feature Selection using Matlab. The DEMO includes 5 feature selection algorithms: • Sequential Forward Selection (SFS) • Sequential Floating Forward Selection (SFFS) • Sequential Backward Selection (SBS) • Sequential Floating Backward Selection (SFBS) • ReliefF Two CCR estimation methods: • Cross-validation • Resubstitution After selecting the best feature subset, the classifier obtained can be used for classifying any pattern. Figure: Upper panel is the pattern x feature matrix Lower panel left are the features selected Lower panel right is the CCR curve during feature selection steps Right panel is the classification results of some patterns. This software was developed using Matlab 7.5 and Windows XP. Copyright: D. Ververidis and C.Kotropoulos AIIA Lab, Thessaloniki, Greece, jimver@aiia.csd.auth.gr costas@aiia.csd.auth.gr
Update : 2025-02-19 Size : 3.13mb Publisher : driftinwind
[Special Effects] pluslr DL : 0: 顺序前进法特征选择，顺序后退法特征选择计算正确率-Sequential forward feature selection method, the sequence backward feature selection method to calculate the correct rate
Update : 2025-02-19 Size : 1kb Publisher : 圆满
[Graph program] feature_selection DL : 0: 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 choose the procedure
Update : 2025-02-19 Size : 5kb Publisher : Thegr
[Special Effects] code-Feature-Selection-using-Matlab DL : 0: 主要完成图像特征出提取，包括5个特征选择算法：SFS，SBS，SFBS-Description The DEMO includes 5 feature selection algorithms: Sequential Forward Selection (SFS) Sequential Floating Forward Selection (SFFS) Sequential Backward Selection (SBS) Sequential Floating Backward Selection (SFBS) ReliefF
Update : 2025-02-19 Size : 3.13mb Publisher : fuhuan