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- Feature_selection abstract "In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features for use in model construction.The central assumption when using a feature selection technique is that the data contains many redundant or irrelevant features. Redundant features are those which provide no more information than the currently selected features, and irrelevant features provide no useful information in any context.Feature selection techniques are a subset of the more general field of feature extraction. Feature extraction creates new features from functions of the original features, whereas feature selection returns a subset of the features.Feature selection techniques are often used in domains where there are many features and comparatively few samples (or data points). The archetypal case is the use of feature selection in analysing DNA microarrays, where there are many thousands of features, and a few tens to hundreds of samples. Feature selection techniques provide three main benefits when constructing predictive models: improved model interpretability, shorter training times, enhanced generalisation by reducing overfitting.Feature selection is also useful as part of the data analysis process, as it shows which features are important for prediction, and how these features are related.".
- Feature_selection wikiPageExternalLink 1201.1587.
- Feature_selection wikiPageExternalLink index.html.
- Feature_selection wikiPageExternalLink featureselection_techreport.pdf.
- Feature_selection wikiPageExternalLink software.php.
- Feature_selection wikiPageExternalLink 01401889.pdf.
- Feature_selection wikiPageExternalLink feature03.html.
- Feature_selection wikiPageExternalLink guyon03a.pdf.
- Feature_selection wikiPageExternalLink somol-efficient%20feature%20subset%20selection%20and%20subset%20size%20optimization.pdf.
- Feature_selection wikiPageExternalLink 386.
- Feature_selection wikiPageExternalLink show_document.php?d=198.
- Feature_selection wikiPageExternalLink mRMR.
- Feature_selection wikiPageExternalLink index.htm.
- Feature_selection wikiPageExternalLink PAMI2.htm.
- Feature_selection wikiPageExternalLink tooldiag.
- Feature_selection wikiPageExternalLink Machine_learning_software.
- Feature_selection wikiPageExternalLink orngFSS.htm.
- Feature_selection wikiPageExternalLink 107_Feature_Subset_Selec.pdf.
- Feature_selection wikiPageExternalLink NIPS2003.
- Feature_selection wikiPageExternalLink IJCAI07-187.pdf.
- Feature_selection wikiPageExternalLink dmLab170.zip.
- Feature_selection wikiPageExternalLink 0-7923-8198-X.
- Feature_selection wikiPageID "1179950".
- Feature_selection wikiPageRevisionID "604475204".
- Feature_selection hasPhotoCollection Feature_selection.
- Feature_selection subject Category:Dimension_reduction.
- Feature_selection subject Category:Model_selection.
- Feature_selection comment "In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features for use in model construction.The central assumption when using a feature selection technique is that the data contains many redundant or irrelevant features.".
- Feature_selection label "Feature Subset Selection".
- Feature_selection label "Feature selection".
- Feature_selection label "اختيار المميزات".
- Feature_selection label "特徴選択".
- Feature_selection sameAs Feature_Subset_Selection.
- Feature_selection sameAs 特徴選択.
- Feature_selection sameAs m.04dzgv.
- Feature_selection sameAs Q446488.
- Feature_selection sameAs Q446488.
- Feature_selection wasDerivedFrom Feature_selection?oldid=604475204.
- Feature_selection isPrimaryTopicOf Feature_selection.