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Optimization in Machine Learning and Applications
Title
Optimization in Machine Learning and Applications [electronic resource] / edited by Anand J. Kulkarni, Suresh Chandra Satapathy.
ISBN
9789811509940
Edition
1st ed. 2020.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2020.
Physical Description
1 online resource (IX, 197 p.) 57 illus., 25 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 07, 2020
Series
Algorithms for Intelligent Systems,
Contents
Use of Artificial Neural Network for Abnormality Detection in Medical Images
Deep Learning Techniques for Crime Hotspot Detection
Optimization Techniques for Machine Learning
A Package Including Pre-Processing, Feature Extraction, Feature Reduction, and Classification for MRI Classification
Predictive Analysis of Lake Water Quality Using an Evolutionary Algorithm
A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swam Optimization
A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure using Fuzzy C-Means and Cohort Intelligence
Development of Algorithm for Spatial Modelling of Climate Data for Agriculture Management for the Semi-Arid Area of Maharashtra in India
A Survey on Human Group Activity Recognition by Analyzing Person Action from Video Sequences using Machine Learning Techniques
Artificial Intelligence in Journalism: A Boon or Bane?
A Perspective of Artificial Intelligence in Public Relations: The Way Forward
Roulette Wheel Selection Based Computational Intelligence Technique to Design an Efficient Transmission Policy for Energy Harvesting Sensors.
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