<P></P><P>THESE CONTRIBUTIONS, WRITTEN BY THE FOREMOST INTERNATIONAL RESEARCHERS AND PRACTITIONERS OF GENETIC PROGRAMMING (GP), EXPLORE THE SYNERGY BETWEEN THEORETICAL AND EMPIRICAL RESULTS ON REAL-WORLD PROBLEMS, PRODUCING A COMPREHENSIVE VIEW OF THE STATE OF THE ART IN GP. TOPICS IN THIS VOLUME INCLUDE: EVOLVING DEVELOPMENTAL PROGRAMS FOR NEURAL NETWORKS SOLVING MULTIPLE PROBLEMS, TANGLED PROGRAM, TRANSFER LEARNING AND OUTLIER DETECTION USING GP, PROGRAM SEARCH FOR MACHINE LEARNING PIPELINES IN REINFORCEMENT LEARNING, AUTOMATIC PROGRAMMING WITH GP, NEW VARIANTS OF GP, LIKE SIGNALGP, VARIANTS OF LEXICASE SELECTION, AND SYMBOLIC REGRESSION AND CLASSIFICATION TECHNIQUES. THE VOLUME INCLUDES SEVERAL CHAPTERS ON BEST PRACTICES AND LESSONS LEARNED FROM HANDS-ON EXPERIENCE. READERS WILL DISCOVER LARGE-SCALE, REAL-WORLD APPLICATIONS OF GP TO A VARIETY OF PROBLEM DOMAINS VIA IN-DEPTH PRESENTATIONS OF THE LATEST AND MOST SIGNIFICANT RESULTS.</P><BR><P></P>
"Sinopsis" puede pertenecer a otra edición de este libro.
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results. 256 pp. Englisch. Nº de ref. del artículo: 9783030047344
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides papers describing cutting-edge work on the theory and applications of genetic programming (GP) Offers large-scale, real-world applications (big data) of GP to a variety of problem domains, including commercial and scienti. Nº de ref. del artículo: 256090907
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results. Nº de ref. del artículo: 9783030047344
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