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Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition (SpringerBriefs in Intelligent Systems) - Softcover
Inhaltsangabe
The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification.
The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.
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Über die Autorin bzw. den Autor
Dr. M.N. Murty is a Professor in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore, India. Anirban Biswas is a Teaching Assistant at the same institution.
Prof. Murty’s other publications include the Springer titles Support Vector Machines and Perceptrons, Compression Schemes for Mining Large Datasets, and Pattern Recognition: An Algorithmic Approach.
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Centrality and Diversity in Search : Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition
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Springer International Publishing, 2019
ISBN 10: 3030247120
ISBN 13: 9783030247126
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Centrality and Diversity in Search
ISBN 10: 3030247120
ISBN 13: 9783030247126
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Taschenbuch. Zustand: Neu. Neuware -The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification.The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 108 pp. Englisch. Artikel-Nr. 9783030247126
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Centrality and Diversity in Search : Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition
ISBN 10: 3030247120
ISBN 13: 9783030247126
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification.The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition. Artikel-Nr. 9783030247126
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Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition (SpringerBriefs in Intelligent Systems)
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