Isbn: 9783319970875 - genetic programming theory and practice xiv (genetic and evolutionary computation) (17 resultados)

XV, 227 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. …

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Hardcover. Condición: Brand New. 227 pages. 9.25x6.25x0.75 inches. In Stock.

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. Chapters in this volume include:Similarity-based Analysis of Population Dynamics in GP Performing Symbolic RegressionHybrid Structural and Behavioral Diversity Methods in GPMulti-Population Competitive Coevolution for Anticipation of Tax EvasionEvolving Artificial General Intelligence for Video Game ControllersA Detailed Analysis of a PushGP RunLinear Genomes for Structured ProgramsNeutrality, Robustness, and Evolvability in GPLocal Search in GPPRETSL: Distributed Probabilistic Rule Evolution for Time-Series ClassificationRelational Structure in Program Synthesis Problems with Analogical ReasoningAn Evolutionary Algorithm for Big Data Multi-Class Classification ProblemsA Generic Framework for Building Dispersion Operators in the Semantic SpaceAssisting Asset Model Development with Evolutionary AugmentationBuilding Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 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.…

Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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. Chapters in this volume include: Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression Hybrid Structural and Behavioral Diversity Methods in GP Multi-Population Competitive Coevolution for Anticipation of Tax Evasion Evolving Artificial General Intelligence for Video Game Controllers A Detailed Analysis of a PushGP Run Linear Genomes for Structured Programs Neutrality, Robustness, and Evolvability in GP Local Search in GP PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification Relational Structure in Program Synthesis Problems with Analogical Reasoning An Evolutionary Algorithm for Big Data Multi-Class Classification Problems A Generic Framework for Building Dispersion Operators in the Semantic Space Assisting Asset Model Development with Evolutionary Augmentation Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 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. Chapters in this volume include:Similarity-based Analysis of Population Dynamics in GP Performing Symbolic RegressionHybrid Structural and Behavioral Diversity Methods in GPMulti-Population Competitive Coevolution for Anticipation of Tax EvasionEvolving Artificial General Intelligence for Video Game ControllersA Detailed Analysis of a PushGP RunLinear Genomes for Structured ProgramsNeutrality, Robustness, and Evolvability in GPLocal Search in GPPRETSL: Distributed Probabilistic Rule Evolution for Time-Series ClassificationRelational Structure in Program Synthesis Problems with Analogical ReasoningAn Evolutionary Algorithm for Big Data Multi-Class Classification ProblemsA Generic Framework for Building Dispersion Operators in the Semantic SpaceAssisting Asset Model Development with Evolutionary AugmentationBuilding Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 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. 244 pp. Englisch. …

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides chapters describing cutting-edge work on the theory and applications of genetic programming (GP)Offers large-scale, real-world applications of GP to a variety of problem domainsWritten by leading international experts from .…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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. Chapters in this volume include:Similarity-based Analysis of Population Dynamics in GP Performing Symbolic RegressionHybrid Structural and Behavioral Diversity Methods in GPMulti-Population Competitive Coevolution for Anticipation of Tax EvasionEvolving Artificial General Intelligence for Video Game ControllersA Detailed Analysis of a PushGP RunLinear Genomes for Structured ProgramsNeutrality, Robustness, and Evolvability in GPLocal Search in GPPRETSL: Distributed Probabilistic Rule Evolution for Time-Series ClassificationRelational Structure in Program Synthesis Problems with Analogical ReasoningAn Evolutionary Algorithm for Big Data Multi-Class Classification ProblemsA Generic Framework for Building Dispersion Operators in the Semantic SpaceAssisting Asset Model Development with Evolutionary AugmentationBuilding Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation ToolReaders 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch.…