Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition

Murty, M. N., Biswas, Anirban

Centrality and Diversity in Search: Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition
  • 出版商: Springer
  • 出版日期: 2019-08-24
  • 售價: $2,380
  • 貴賓價: 9.5 折 $2,261
  • 語言: 英文
  • 頁數: 94
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030247120
  • ISBN-13: 9783030247126
  • 相關分類: Machine Learning

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商品描述

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.

作者簡介

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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