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Centrality and Diversity in Search - Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition (Paperback, 1st ed. 2019) Loot Price: R1,597
Discovery Miles 15 970
Centrality and Diversity in Search - Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition (Paperback, 1st...

Centrality and Diversity in Search - Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition (Paperback, 1st ed. 2019)

M.N. Murty, Anirban Biswas

Series: SpringerBriefs in Intelligent Systems

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Loot Price R1,597 Discovery Miles 15 970 | Repayment Terms: R150 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: SpringerBriefs in Intelligent Systems
Release date: August 2019
First published: 2019
Authors: M.N. Murty • Anirban Biswas
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 94
Edition: 1st ed. 2019
ISBN-13: 978-3-03-024712-6
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-024712-0
Barcode: 9783030247126

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