Stephan Winkler & Leonardo Trujillo 
Genetic Programming Theory and Practice XX [PDF ebook] 

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Genetic Programming Theory and Practice brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year’s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine, and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the- art in GP research.

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Table of Content

Chapter 1. Symbolic Regression and Real World Applications.- Chapter 2. Program Synthesis with GP plus others.- Chapter 3. Machine learning and GP.- Chapter 4. Grammatical Evolution and Medical Applications of GP.- Chapter 5. Evolved Analytics LLC, Efficient Real-World Problem Solving with Genetic Programming.- Chapter 6. Automatic Machine Learning with GP.- Chapter 7. GP and Cybersecurity.- Transfer Learning and GP.- Chapter 8. Selection Mechanisms in Genetic Programming.- Chapter 9. Evolutionary Computation and Machine Learning.

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Language English ● Format PDF ● Pages 337 ● ISBN 9789819984138 ● File size 24.6 MB ● Age 02-99 years ● Editor Stephan Winkler & Leonardo Trujillo ● Publisher Springer Nature Singapore ● City Singapore ● Country SG ● Published 2024 ● Downloadable 24 months ● Currency EUR ● ID 9342332 ● Copy protection Social DRM

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