9783844303339 - feature usability index: a simple approach to feature selection di sheet, debdoot; kumar ray, ajoy; chatterjee, jyotirmoy (7 risultati)
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 84.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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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 dimension…ality 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.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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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.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 80,26
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Condizione: New. PRINT ON DEMAND pp. 84.
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Da: moluna, Greven, Germaniamoluna
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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 proc…essing, pattern analysis and .
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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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 dimensionalit…y 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.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 49,59
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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.
