Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 36,90
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Da: California Books, Miami, FL, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 38,36
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Aggiungi al carrelloCondizione: New. In English.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 171,35
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 186,70
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Da: California Books, Miami, FL, U.S.A.
EUR 189,05
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 173,69
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EUR 85,49
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 660 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 197,32
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9819920957 ISBN 13: 9789819920952
Da: moluna, Greven, Germania
EUR 144,94
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 202,79
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 205,01
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 205,22
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,08
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 218,85
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 218,85
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Aggiungi al carrelloCondizione: New. In.
Da: BennettBooksLtd, San Diego, NV, U.S.A.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 177,35
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMâOAs amenable to application of ML for different pursuits.Recognizing the immense potential for ML-based enhancements in the EMâO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners.To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types.Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMâO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed innovized progress operators (2021-23). It also highlights the utility of ML interventions in the search, post-optimality, and decision-making phases pertaining to the use of EMâOAs. Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMâOA domain.To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMâOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMâOA and ML domains.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2024
ISBN 10: 9819920957 ISBN 13: 9789819920952
Da: Revaluation Books, Exeter, Regno Unito
EUR 247,75
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 259 pages. 9.25x6.10x9.21 inches. In Stock.
EUR 147,33
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 676 | Sprache: Englisch | Produktart: Bücher | Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
Condizione: New. pp. 676.
Condizione: New. pp. 676.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2006
ISBN 10: 3540306765 ISBN 13: 9783540306764
Da: moluna, Greven, Germania
EUR 227,74
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Aggiungi al carrelloGebunden. Condizione: New. Selected collection of recent research on multi-objective approach to machine learningRecent developments in evolutionary multi-objective optimizationApplies the concept of Pareto-optimality to machine learning Recently.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642067964 ISBN 13: 9783642067969
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 213,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
EUR 284,41
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 676 Illus.
EUR 288,65
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 676.