Feature Selection Using Genetic by Devaraj Nithya (8 results)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 78.67
£ 10.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: Brand New. 8.74x6.02x0.39 inches. In Stock.
- More images
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
£ 42.22
£ 59.90 shippingShips from Germany to U.S.A.Quantity: 5 available
Taschenbuch. Condition: Neu. Feature Selection using Genetic Algorithm to improve SVM Classifier | Nithya Devaraj | Taschenbuch | 104 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139992072 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbi…eter: preigu.
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
Contact seller5-star sellerCondition: Used - Fine
£ 22.08
£ 89.84 shippingShips from Germany to U.S.A.Quantity: 1 available
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book gives a classification algorithms like Support Vector Machine and Genetic Algorithm are used to find the classification accuracy for the Wisconsin Breast Cancer dataset. The benchmark dataset, Wisconsin Breast Cancer dataset is obtained f…rom UCI Machine Learning Repository. The dataset consists of 699 instances divided into 2 classes namely Benign and Malignant, each with 11 attributes. Support vector machines (SVMs) are a set of related supervised learning methods used for classification. A classification SVM model attempts to separate the target classes with the widest possible margin. In SVM, Radial basis function and Polynomial kernel function are used to calculate classification accuracy and run time. Feature Selection is used to improve the accuracy of the SVM classifier.In GA, Integer and Binary Coded Genetic Algorithm are also used to calculate classification accuracy and run time. Integer- Coded Genetic Algorithm is used to select important and relevant features for classification. Binary Coded Genetic Algorithm can be applied to many optimization problems which contains binary string for the variables.
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
Contact seller4-star sellerCondition: New
£ 140.00
£ 25.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- More images
Language: English
Published by LAP LAMBERT Academic Publishing Jan 2019, 2019
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 48.39
£ 19.68 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book gives a classification algorithms like Support Vector Machine and Genetic Algorithm are used to find the classification accuracy for the Wisconsin Breast Cancer dataset. The benchmark dataset, Wisconsin Breast Cancer datas…et is obtained from UCI Machine Learning Repository. The dataset consists of 699 instances divided into 2 classes namely Benign and Malignant, each with 11 attributes. Support vector machines (SVMs) are a set of related supervised learning methods used for classification. A classification SVM model attempts to separate the target classes with the widest possible margin. In SVM, Radial basis function and Polynomial kernel function are used to calculate classification accuracy and run time. Feature Selection is used to improve the accuracy of the SVM classifier.In GA, Integer and Binary Coded Genetic Algorithm are also used to calculate classification accuracy and run time. Integer- Coded Genetic Algorithm is used to select important and relevant features for classification. Binary Coded Genetic Algorithm can be applied to many optimization problems which contains binary string for the variables. 104 pp. Englisch.
- More images
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 40.05
£ 41.92 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Devaraj NithyaD.Nithya received B.E degree CSE in 2008 and M.E degree CSE in 2010 from Avinashilingam University, Coimbatore. At present she is an Assistant Professor in Dept. of CSE, School of Engineer…ing, Avinashlingam University..
- More images
Language: English
Published by LAP LAMBERT Academic Publishing Jan 2019, 2019
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 48.39
£ 51.34 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book gives a classification algorithms like Support Vector Machine and Genetic Algorithm are used to find the classification accuracy for the Wisconsin Breast Cancer dataset. The benchmark dataset, Wisconsin Breast Cancer dataset i…s obtained from UCI Machine Learning Repository. The dataset consists of 699 instances divided into 2 classes namely Benign and Malignant, each with 11 attributes. Support vector machines (SVMs) are a set of related supervised learning methods used for classification. A classification SVM model attempts to separate the target classes with the widest possible margin. In SVM, Radial basis function and Polynomial kernel function are used to calculate classification accuracy and run time. Feature Selection is used to improve the accuracy of the SVM classifier.In GA, Integer and Binary Coded Genetic Algorithm are also used to calculate classification accuracy and run time. Integer- Coded Genetic Algorithm is used to select important and relevant features for classification. Binary Coded Genetic Algorithm can be applied to many optimization problems which contains binary string for the variables.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.
- More images
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 48.97
£ 52.08 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book gives a classification algorithms like Support Vector Machine and Genetic Algorithm are used to find the classification accuracy for the Wisconsin Breast Cancer dataset. The benchmark dataset, Wisconsin Breast Cancer dataset is… obtained from UCI Machine Learning Repository. The dataset consists of 699 instances divided into 2 classes namely Benign and Malignant, each with 11 attributes. Support vector machines (SVMs) are a set of related supervised learning methods used for classification. A classification SVM model attempts to separate the target classes with the widest possible margin. In SVM, Radial basis function and Polynomial kernel function are used to calculate classification accuracy and run time. Feature Selection is used to improve the accuracy of the SVM classifier.In GA, Integer and Binary Coded Genetic Algorithm are also used to calculate classification accuracy and run time. Integer- Coded Genetic Algorithm is used to select important and relevant features for classification. Binary Coded Genetic Algorithm can be applied to many optimization problems which contains binary string for the variables.
