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They are generally made of gourds, with hair, feathers, teeth, and other materials applied for features.
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Mutation approaches have been recently applied for feature testing of Software Product Lines (SPLs).
PCA and LDA are widely applied for feature extraction and dimension reduction.
Forward selection and backward elimination methods were applied for feature subset selection after data cleaning.
The nonlocal means filter has been applied for feature preserved MRI denoising [8 12].
In our paper, the genetic algorithm is applied for feature optimization in software product line.
The discrete Fourier, wavelet and cosine transforms are applied for feature extraction.
The Maximum Relevance Minimum Redundancy (mRMR) method combining with Incremental Feature Selection (IFS) and Feature Forward Selection (FFS) are then applied for feature selection.
Then SVM-RFE algorithm is applied for feature selection and reduced vectors are input to a support vector machine classifier to predict subcellular location of apoptosis proteins.
Then principal component analysis (PCA) is applied for feature selection and reduced vectors are input to a support vector machine (SVM) to predict protein subcellular localization.
And then, independent component analysis (ICA) is applied for feature extraction under two architectures, which give local and global information respectively.
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