Algorithms for Intelligent Systems

Optimization in Machine Learning and Applications

Editors: Kulkarni, Anand J., Satapathy, Suresh Chandra (Eds.)

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  • Presents current research on various applications of machine learning
     
    Discusses optimization techniques to solve real problems
     
    Serves as a reference resource for researchers and practitioners in academia and industry

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About this book

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.

About the authors

Anand J. Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore; an M.S. in AI from the University of Regina, Canada; and Bachelor of Engineering from Shivaji University, India. He worked as a Research Fellow on a cross-border supply-chain disruption project at Odette School of Business, University of Windsor, Canada. Currently, he is the Head and an Associate Professor at the Symbiosis Institute of Technology, Pune, India. His research interests include optimization algorithms, multiobjective optimization, multiagent systems, complex systems, swarm optimization, game theory, and self-organizing systems. He is the founder and Chairman of the OAT Research Lab. Anand has published over 40 research papers in peer-reviewed journals and conferences as well as two books.

Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT, Odisha, India. Previously, he was a Professor and the Head of the Department of CSE at ANITS, AP, India. He received his Ph.D. in CSE from JNTU, Hyderabad, and M.Tech. in CSE from the NIT, Odisha. He has more than 27 years of teaching and research experience. His research interests include machine learning, data mining, swarm intelligence and applications. He has published more than 98 papers in respected journals and conferences and has edited numerous volumes for Springer AISC and LNCS. In addition to serving on the editorial board of several journals, he is a senior member of the IEEE and a life member of the Computer Society of India, where he is the National Chairman of Division-V (Education and Research).

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Use of Artificial Neural Network for Abnormality Detection in Medical Images

    Pages 1-12

    Rajarapollu, Prachi R. (et al.)

  • Deep Learning Techniques for Crime Hotspot Detection

    Pages 13-29

    Nair, Sankar N. (et al.)

  • Optimization Techniques for Machine Learning

    Pages 31-50

    Zouggar, Souad Taleb (et al.)

  • A Package Including Pre-processing, Feature Extraction, Feature Reduction, and Classification for MRI Classification

    Pages 51-68

    Balavand, Alireza (et al.)

  • Predictive Analysis of Lake Water Quality Using an Evolutionary Algorithm

    Pages 69-89

    Jadhav, Mrunalini (et al.)

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-981-15-0994-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-981-15-0993-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Optimization in Machine Learning and Applications
Editors
  • Anand J. Kulkarni
  • Suresh Chandra Satapathy
Series Title
Algorithms for Intelligent Systems
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-0994-0
DOI
10.1007/978-981-15-0994-0
Hardcover ISBN
978-981-15-0993-3
Series ISSN
2524-7565
Edition Number
1
Number of Pages
IX, 197
Number of Illustrations
32 b/w illustrations, 25 illustrations in colour
Topics