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Description: 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
Platform: |
Size: 4680 |
Author: 夏玉 |
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Description: 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.
Platform: |
Size: 1024 |
Author: wangc |
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Description: 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
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Size: 4096 |
Author: 夏玉 |
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Description: Feature Selection using matlab
Platform: |
Size: 2463744 |
Author: ali |
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Description: 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
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Size: 3286016 |
Author: 王二 |
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Description: 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
Platform: |
Size: 4096 |
Author: 彭亮 |
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Description: 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
Platform: |
Size: 3283968 |
Author: driftinwind |
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Description: 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
Platform: |
Size: 3072 |
Author: 周星星 |
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Description: 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.
Platform: |
Size: 7168 |
Author: SarahDora |
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Description: sffs search implementation
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Size: 15360 |
Author: Rujie Liu |
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Description: 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
Platform: |
Size: 5120 |
Author: Thegr |
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Description: 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
Platform: |
Size: 3284992 |
Author: fuhuan |
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Description: 打开输入qq换个密码,hdadadbiereifhh俄日foe，攻击ip地址(sjkfdfe lewrn edsi sffs.sfvns.)
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Size: 450560 |
Author: 213凯
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