Optimization in Machine Learning and Applications

Optimization in Machine Learning and Applications
PDF, ePUB
  • eBook:
    Optimization in Machine Learning and Applications
  • Author:
    Anand J. Kulkarni, Suresh Chandra Satapathy
  • Edition:
    1st ed. 2020 Edition
  • Categories:
  • Data:
    December 10, 2019
  • ISBN:
    981150993X
  • ISBN-13:
    9789811509933
  • Language:
    English
  • Pages:
    206 pages
  • Format:
    PDF, ePUB

Book Description
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.

Content

1. Use of Artificial Neural Network for Abnormality Detection in Medical Images
2. Deep Learning Techniques for Crime Hotspot Detection
3. Optimization Techniques for Machine Learning
4. A Package Including Pre-processing, Feature Extraction, Feature Reduction, and Classification for MRI Classification
5. Predictive Analysis of Lake Water Quality Using an Evolutionary Algorithm
6. A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization
7. A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means and Cohort Intelligence
8. Development of Algorithm for Spatial Modelling of Climate Data for Agriculture Management for the Semi-arid Area of Maharashtra in India
9. A Survey on Human Group Activity Recognition by Analysing Person Action from Video Sequences Using Machine Learning Techniques
10. Artificial Intelligence in Journalism: A Boon or Bane?
11. The Space of Artificial Intelligence in Public Relations: The Way Forward
12. Roulette Wheel Selection-Based Computational Intelligence Technique to Design an Efficient Transmission Policy for Energy Harvesting Sensors

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