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Machine Learning Paradigms

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Cover of 'Machine Learning Paradigms'

Table of Contents

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    Book Overview
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    Chapter 1 Applications of Learning and Analytics in Intelligent Systems
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    Chapter 2 A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure
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    Chapter 3 Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research
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    Chapter 4 Machine Learning Approaches for Pap-Smear Diagnosis: An Overview
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    Chapter 5 Multi-kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems
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    Chapter 6 Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods
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    Chapter 7 Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning
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    Chapter 8 Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
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    Chapter 9 A Taxonomy and Review of the Network Data Envelopment Analysis Literature
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    Chapter 10 Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams
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    Chapter 11 Analytics and Evolving Landscape of Machine Learning for Emergency Response
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    Chapter 12 Social Media Analytics, Types and Methodology
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    Chapter 13 Machine Learning Methods for Opinion Mining In text: The Past and the Future
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    Chapter 14 Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment
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    Chapter 15 Video Analytics for Visual Surveillance and Applications: An Overview and Survey
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    Chapter 16 Machine Learning in Alternate Testing of Integrated Circuits
Attention for Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment
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Citations

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Chapter title
Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment
Chapter number 14
Book title
Machine Learning Paradigms
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-15628-2_14
Book ISBNs
978-3-03-015627-5, 978-3-03-015628-2
Authors

Jeffrey W. Tweedale

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%