Centrality and Diversity in Search
Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition
(Sprache: Englisch)
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...
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Klappentext zu „Centrality and Diversity in Search “
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.
Inhaltsverzeichnis zu „Centrality and Diversity in Search “
Introduction.- Searching.- Representation.- Clustering and Classification.- Ranking.- Centrality and Diversity in Social and Information Networks.- Conclusion.
Autoren-Porträt von M. N. Murty, Anirban Biswas
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.
Bibliographische Angaben
- Autoren: M. N. Murty , Anirban Biswas
- 2019, 1st ed. 2019, XI, 94 Seiten, 5 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030247120
- ISBN-13: 9783030247126
Sprache:
Englisch
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