Sabai phyu (6 Ergebnisse)
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Taschenbuch. Zustand: Neu. Hybridization of Genetic Algorithm and K Nearest Neighbor Classifier | Using Information Based Distance Metric | Sabai Phyu | Taschenbuch | 108 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659790294 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19,…49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning is the study of algorithms that automatically improve their performance with experience. That can provide significant competitive advantages to many organizations by exploiting the potential of large data volume. Inte…lligently analyzed data is a valuable resource. At the heart of performance is classification accuracy in this specified task. Mostly a crucial problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. The classification of data is based on the set of data feature used. The feature selection can provide optimizing performance by using Genetic Algorithm and strongly effect in classification. In making to get improved classification accuracy, author has taken advantage with using hybrid of machine learning methods rather than use of only machine learning approach. Author proposed Information based distance metric to overwhelm one of the weak points of k nearest neighbor classifier. Moreover it provide the comparison of the result of Information based distance metric and Euclidean distance metric on both majority voting and similarity score summing. 108 pp. Englisch.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Phyu SabaiThe author was born in Taungoo Township in Myanmar. In 1995, she got B.Sc. (Honours) Chemistry from Yangon University . In 1999, she got M.I.Sc and in 2004, she got Ph.D (IT) from University of…Computer Studies, Yangon. In .
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning is the study of algorithms that automatically improve their performance with experience. That can provide signi¿cant competitive advantages to many organizations by exploiting the potential of large data volume. Intellige…ntly analyzed data is a valuable resource. At the heart of performance is classi¿cation accuracy in this speci¿ed task. Mostly a crucial problem in machine learning is identifying a representative set of features from which to construct a classi¿cation model for a particular task. The classi¿cation of data is based on the set of data feature used. The feature selection can provide optimizing performance by using Genetic Algorithm and strongly effect in classi¿cation. In making to get improved classi¿cation accuracy, author has taken advantage with using hybrid of machine learning methods rather than use of only machine learning approach. Author proposed Information based distance metric to overwhelm one of the weak points of k nearest neighbor classi¿er. Moreover it provide the comparison of the result of Information based distance metric and Euclidean distance metric on both majority voting and similarity score summing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning is the study of algorithms that automatically improve their performance with experience. That can provide significant competitive advantages to many organizations by exploiting the potential of large data volume. Intellige…ntly analyzed data is a valuable resource. At the heart of performance is classification accuracy in this specified task. Mostly a crucial problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. The classification of data is based on the set of data feature used. The feature selection can provide optimizing performance by using Genetic Algorithm and strongly effect in classification. In making to get improved classification accuracy, author has taken advantage with using hybrid of machine learning methods rather than use of only machine learning approach. Author proposed Information based distance metric to overwhelm one of the weak points of k nearest neighbor classifier. Moreover it provide the comparison of the result of Information based distance metric and Euclidean distance metric on both majority voting and similarity score summing.
