Feature selection as an area of interest within pattern recognition, deals with selection of a subset of attributes used in construction of a model describing observations. The purpose of this stage includes reducing data dimensionality by removing irrelevant and redundant features, reducing the amount of learning data, improving predictive accuracy and comprehensibility of a classification hypothesis. This book introduces Feature Usability Index (FUI) as a measure for evaluating classification efficacy of features and its application in feature selection. Experimental applications presents optimal feature subset selection through ordering based on FUI, use of FUI for ranking and selection of feature extraction techniques for a specific linguistic feature, and Color Usability Index as a measure for predicting performance of image segmentation algorithms.
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Debdoot Sheet is currently working towards his Ph.D. degree at School of Medical Science and Technology, IIT Kharagpur.His research interests include image and multidimensional signal processing, pattern analysis and machine intelligence, knowledge and data engineering, fuzzy systems, systems, man and cybernetics.
Debdoot Sheet is currently working towards his Ph.D. degree at School of Medical Science and Technology, IIT Kharagpur.His research interests include image and multidimensional signal processing, pattern analysis and machine intelligence, knowledge and data engineering, fuzzy systems, systems, man and cybernetics.
Debdoot Sheet is currently working towards his Ph.D. degree at School of Medical Science and Technology, IIT Kharagpur.His research interests include image and multidimensional signal processing, pattern analysis and machine intelligence, knowledge and data engineering, fuzzy systems, systems, man and cybernetics.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Feature selection as an area of interest within pattern recognition, deals with selection of a subset of attributes used in construction of a model describing observations. The purpose of this stage includes reducing data dimensionality by removing irrelevant and redundant features, reducing the amount of learning data, improving predictive accuracy and comprehensibility of a classification hypothesis. This book introduces Feature Usability Index (FUI) as a measure for evaluating classification efficacy of features and its application in feature selection. Experimental applications presents optimal feature subset selection through ordering based on FUI, use of FUI for ranking and selection of feature extraction techniques for a specific linguistic feature, and Color Usability Index as a measure for predicting performance of image segmentation algorithms. 84 pp. Englisch. Codice articolo 9783844303339
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 84. Codice articolo 26128852282
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand pp. 84 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 131702501
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18128852272
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sheet DebdootDebdoot Sheet is currently working towards his Ph.D. degree at School of Medical Science and Technology, IIT Kharagpur.His research interests include image and multidimensional signal processing, pattern analysis and . Codice articolo 5470832
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Feature selection as an area of interest within pattern recognition, deals with selection of a subset of attributes used in construction of a model describing observations. The purpose of this stage includes reducing data dimensionality by removing irrelevant and redundant features, reducing the amount of learning data, improving predictive accuracy and comprehensibility of a classification hypothesis. This book introduces Feature Usability Index (FUI) as a measure for evaluating classification efficacy of features and its application in feature selection. Experimental applications presents optimal feature subset selection through ordering based on FUI, use of FUI for ranking and selection of feature extraction techniques for a specific linguistic feature, and Color Usability Index as a measure for predicting performance of image segmentation algorithms.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Codice articolo 9783844303339
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Feature selection as an area of interest within pattern recognition, deals with selection of a subset of attributes used in construction of a model describing observations. The purpose of this stage includes reducing data dimensionality by removing irrelevant and redundant features, reducing the amount of learning data, improving predictive accuracy and comprehensibility of a classification hypothesis. This book introduces Feature Usability Index (FUI) as a measure for evaluating classification efficacy of features and its application in feature selection. Experimental applications presents optimal feature subset selection through ordering based on FUI, use of FUI for ranking and selection of feature extraction techniques for a specific linguistic feature, and Color Usability Index as a measure for predicting performance of image segmentation algorithms. Codice articolo 9783844303339
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Feature Usability Index | A Simple Approach to Feature Selection | Debdoot Sheet (u. a.) | Taschenbuch | 84 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844303339 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 107119050
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