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ARTIFICIAL INTELLIGENCE AND APPLICATIONS: Edition 1: Neural Networks and Automatic Classification of Multidimensional Data - Softcover
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Recognition of our environment is essentially based on observation, analysis and classification. The elements of our environment are indeed classified by comparison with their similar in modes of hierarchical relational representations. This approach is relatively difficult to formalize, especially when placed in an unsupervised context. That is to say, when it comes to identifying the classes present in a sample from the only information that can be extracted from the objects to be classified. In general, objects are characterized by attributes which it is convenient to represent by points in a multidimensional space. In this context, many classification methods have been developed. Some of them are based on concepts of distances, while others refer to statistical notions where explicit reference is made to the probability density function (pdf) underlying the distribution of data at to classify.
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recognition of our environment is essentially based on observation, analysis and classification. The elements of our environment are indeed classified by comparison with their similar in modes of hierarchical relational representations. This approach is relatively difficult to formalize, especially when placed in an unsupervised context. That is to say, when it comes to identifying the classes present in a sample from the only information that can be extracted from the objects to be classified. In general, objects are characterized by attributes which it is convenient to represent by points in a multidimensional space. In this context, many classification methods have been developed. Some of them are based on concepts of distances, while others refer to statistical notions where explicit reference is made to the probability density function (pdf) underlying the distribution of data at to classify. 128 pp. Englisch. Seller Inventory # 9786204624945
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Eddarouich Souad- Doctor in Artificial Intelligence- Computer science teacher at the Regional Center for Education and Training - CRMEF- Researcher in Machine Learning and Deep- Learning.Recognition of our environment is essentia. Seller Inventory # 590482188
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recognition of our environment is essentially based on observation, analysis and classification. The elements of our environment are indeed classified by comparison with their similar in modes of hierarchical relational representations. This approach is relatively difficult to formalize, especially when placed in an unsupervised context. That is to say, when it comes to identifying the classes present in a sample from the only information that can be extracted from the objects to be classified. In general, objects are characterized by attributes which it is convenient to represent by points in a multidimensional space. In this context, many classification methods have been developed. Some of them are based on concepts of distances, while others refer to statistical notions where explicit reference is made to the probability density function (pdf) underlying the distribution of data at to classify.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9786204624945
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS | Edition 1: Neural Networks and Automatic Classification of Multidimensional Data
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Taschenbuch. Condition: Neu. ARTIFICIAL INTELLIGENCE AND APPLICATIONS | Edition 1: Neural Networks and Automatic Classification of Multidimensional Data | Souad Eddarouich | Taschenbuch | Englisch | 2022 | Our Knowledge Publishing | EAN 9786204624945 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 121581805
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ARTIFICIAL INTELLIGENCE AND APPLICATIONS : Edition 1: Neural Networks and Automatic Classification of Multidimensional Data
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recognition of our environment is essentially based on observation, analysis and classification. The elements of our environment are indeed classified by comparison with their similar in modes of hierarchical relational representations. This approach is relatively difficult to formalize, especially when placed in an unsupervised context. That is to say, when it comes to identifying the classes present in a sample from the only information that can be extracted from the objects to be classified. In general, objects are characterized by attributes which it is convenient to represent by points in a multidimensional space. In this context, many classification methods have been developed. Some of them are based on concepts of distances, while others refer to statistical notions where explicit reference is made to the probability density function (pdf) underlying the distribution of data at to classify. Seller Inventory # 9786204624945