Feature selection
2016-08-23
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Feature selection, also known as feature subset selection (FSS, Feature Subset Selection). M already refers to features (Feature), select n allows the optimization of system parameters.
Search backward (SBS, Sequential Backward Selection): starting from feature complete o, each time removing a feature from the feature set o x, make the evaluation function to achieve the best value after adjusting for feature x.
Search forward (SFS, Sequential Forward Selection): characteristics of subsets of x starting from an empty set, each time you select a subset of feature x added feature x, making characteristic function j (x) the best. Simply put, always select a make the value of the evaluation function to be optimized feature added is in fact a simple greedy algorithm.
Search backward (SBS, Sequential Backward Selection): starting from feature complete o, each time removing a feature from the feature set o x, make the evaluation function to achieve the best value after adjusting for feature x.
Search forward (SFS, Sequential Forward Selection): characteristics of subsets of x starting from an empty set, each time you select a subset of feature x added feature x, making characteristic function j (x) the best. Simply put, always select a make the value of the evaluation function to be optimized feature added is in fact a simple greedy algorithm.
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