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Genetic Programming Theory and Practice XVI (Genetic and Evolutionary Computation) - Hardcover

 
9783030047344: Genetic Programming Theory and Practice XVI (Genetic and Evolutionary Computation)

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<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>

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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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Banzhaf, Wolfgang et al. (Eds.)
Verlag: Cham, Springer., 2019
ISBN 10: 3030047342 ISBN 13: 9783030047344
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XXI, 234 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Genetic and Evolutionary Computation. Sprache: Englisch. Artikel-Nr. 34476AB

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Wolfgang Banzhaf
ISBN 10: 3030047342 ISBN 13: 9783030047344
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Buch. Zustand: 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. Artikel-Nr. 9783030047344

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