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Machine Learning and Its Applications

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Cover of 'Machine Learning and Its Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts
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    Chapter 2 Learning Patterns in Noisy Data: The AQ Approach
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    Chapter 3 Unsupervised Learning of Probabilistic Concept Hierarchies
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    Chapter 4 Function Decomposition in Machine Learning
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    Chapter 5 How to Upgrade Propositional Learners to First Order Logic: A Case Study
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    Chapter 6 Case-Based Reasoning
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    Chapter 7 Genetic Algorithms in Machine Learning
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    Chapter 8 Pattern Recognition and Neural Networks
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    Chapter 9 Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications
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    Chapter 10 Integrated Architectures for Machine Learning
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    Chapter 11 The Computational Support of Scientic Discovery
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    Chapter 12 Support Vector Machines: Theory and Applications
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    Chapter 13 Pre- and Post-processing in Machine Learning and Data Mining
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    Chapter 14 Machine Learning in Human Language Technology
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    Chapter 15 Machine Learning for Intelligent Information Access
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    Chapter 16 Machine Learning and Intelligent Agents
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    Chapter 17 Machine Learning in User Modeling
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    Chapter 18 Data Mining in Economics, Finance, and Marketing
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    Chapter 19 Machine Learning in Medical Applications
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    Chapter 20 Machine Learning Applications to Power Systems
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    Chapter 21 Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications
Attention for Chapter 7: Genetic Algorithms in Machine Learning
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Chapter title
Genetic Algorithms in Machine Learning
Chapter number 7
Book title
Machine Learning and Its Applications
Published by
Springer, Berlin, Heidelberg, July 1999
DOI 10.1007/3-540-44673-7_7
Book ISBNs
978-3-54-042490-1, 978-3-54-044673-6
Authors

Jonathan Shapiro, Shapiro, Jonathan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
India 1 <1%
China 1 <1%
Italy 1 <1%
Unknown 129 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 21%
Student > Master 18 14%
Student > Bachelor 17 13%
Researcher 10 8%
Other 5 4%
Other 12 9%
Unknown 43 32%
Readers by discipline Count As %
Computer Science 35 26%
Engineering 31 23%
Agricultural and Biological Sciences 5 4%
Chemistry 3 2%
Design 3 2%
Other 12 9%
Unknown 44 33%