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Empirical Approach to Machine Learning

Overview of attention for book
Empirical Approach to Machine Learning
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
  3. Altmetric Badge
    Chapter 2 Brief Introduction to Statistical Machine Learning
  4. Altmetric Badge
    Chapter 3 Brief Introduction to Computational Intelligence
  5. Altmetric Badge
    Chapter 4 Empirical Approach—Introduction
  6. Altmetric Badge
    Chapter 5 Empirical Fuzzy Sets and Systems
  7. Altmetric Badge
    Chapter 6 Anomaly Detection— Empirical Approach
  8. Altmetric Badge
    Chapter 7 Data Partitioning— Empirical Approach
  9. Altmetric Badge
    Chapter 8 Autonomous Learning Multi-model Systems
  10. Altmetric Badge
    Chapter 9 Transparent Deep Rule-Based Classifiers
  11. Altmetric Badge
    Chapter 10 Applications of Autonomous Anomaly Detection
  12. Altmetric Badge
    Chapter 11 Applications of Autonomous Data Partitioning
  13. Altmetric Badge
    Chapter 12 Applications of Autonomous Learning Multi-model Systems
  14. Altmetric Badge
    Chapter 13 Applications of Deep Rule-Based Classifiers
  15. Altmetric Badge
    Chapter 14 Applications of Semi-supervised Deep Rule-Based Classifiers
  16. Altmetric Badge
    Chapter 15 Epilogue
Attention for Chapter 2: Brief Introduction to Statistical Machine Learning
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Chapter title
Brief Introduction to Statistical Machine Learning
Chapter number 2
Book title
Empirical Approach to Machine Learning
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-02384-3_2
Book ISBNs
978-3-03-002383-6, 978-3-03-002384-3
Authors

Plamen P. Angelov, Xiaowei Gu, Angelov, Plamen P., Gu, Xiaowei

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Country Count As %
United States 1 1%
Italy 1 1%
Unknown 76 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 16 21%
Researcher 7 9%
Student > Bachelor 4 5%
Professor 3 4%
Other 9 12%
Unknown 21 27%
Readers by discipline Count As %
Computer Science 20 26%
Engineering 11 14%
Agricultural and Biological Sciences 6 8%
Physics and Astronomy 4 5%
Mathematics 3 4%
Other 9 12%
Unknown 25 32%