Floating search methods in feature selection
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Cites background from "Floating search methods in feature ..."
...Index Terms—Feature selection, mutual information, minimal redundancy, maximal relevance, maximal dependency, classification....
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Cites background from "Floating search methods in feature ..."
...Since the identification of the optimal solution is computationally unfeasible, techniques that lead to suboptimal solutions are normally used....
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3,517 citations
Cites background or methods from "Floating search methods in feature ..."
...The SFS and SFFS methods suffer from producing nested subsets since the forward inclusion was always unconditional which means that two highly correlated variables might be included if it gave the highest performance in the SFS evaluation....
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...The Sequential Floating Forward Selection (SFFS) [33,34] algorithm is more flexible than the naive SFS because it introduces an additional backtracking step....
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...It can be noted that a statistical distance measure can also be used as the objective function for the search algorithms as done in [9,10,33,35]....
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...To avoid the nesting effect, adaptive version of the SFFS was developed in [35,36]....
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...8 gives the result of applying SFFS with RBF as the wrapper....
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References
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"Floating search methods in feature ..." refers methods in this paper
...Further work includes the use of genetic algorithms for feature selection (Siedlecki and Sklansky, 1989) or the possibility of applying simulated annealing technique (Siedlecki and Sklansky, 1988)....
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790 citations
"Floating search methods in feature ..." refers methods in this paper
...A feature selection technique using the divergence distance as the criterion function and the sequential backward selection (SBS) method as the search algorithm was introduced already by Marill and Green (1963) and its "bottom up" counterpart known as sequential forward selection (SFS) by Whitney (1971). Both these methods are generally suboptimal and suffer from the so-called "nesting effect"....
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626 citations
"Floating search methods in feature ..." refers methods in this paper
...…selection technique using the divergence distance as the criterion function and the sequential backward selection (SBS) method as the search algorithm was introduced already by Marill and Green ( 1963) and its "bottom up" counterpart known as sequential forward selection (SFS) by Whitney ( 197 1 )....
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366 citations