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Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence, 1038)
Libro 526 di 538: Studies in Computational IntelligenceDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 139,81
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence, 1038)
Libro 526 di 538: Studies in Computational IntelligenceDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 139,81
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Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 139,80
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Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 155,03
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2026
ISBN 10: 3030990818 ISBN 13: 9783030990817
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 179,71
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Aggiungi al carrelloPaperback. Condizione: New. 2022 ed.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence, 1038)
Libro 526 di 538: Studies in Computational IntelligenceDa: Books Puddle, New York, NY, U.S.A.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence, 1038)
Libro 526 di 538: Studies in Computational IntelligenceDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceEUR 131,05
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems | Essam Halim Houssein (u. a.) | Taschenbuch | ix | Englisch | 2026 | Springer | EAN 9783030990817 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 1 (Algorithms for Intelligent Systems)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 200,81
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceEUR 107,18
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 512 | Sprache: Englisch | Produktart: Bücher | This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceEUR 149,79
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceLingua: Inglese
Editore: Springer International Publishing, 2022
ISBN 10: 3030990788 ISBN 13: 9783030990787
EUR 149,79
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
-
Machine Learning and Metaheuristics: Methods and Analysis (Hardcover)
Libro 89 di 95: Algorithms for Intelligent SystemsLingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9819966442 ISBN 13: 9789819966448
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Metaheuristics: Methods and Analysis (Algorithms for Intelligent Systems)
Libro 89 di 95: Algorithms for Intelligent SystemsDa: Books Puddle, New York, NY, U.S.A.
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Machine Learning and Metaheuristics: Methods and Analysis (Algorithms for Intelligent Systems)
Libro 89 di 95: Algorithms for Intelligent SystemsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 312.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Libro 526 di 538: Studies in Computational IntelligenceLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2023
ISBN 10: 3030990818 ISBN 13: 9783030990817
Da: Rarewaves.com UK, London, Regno Unito
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EUR 168,99
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Aggiungi al carrelloPaperback. Condizione: New. 2022 ed.
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Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 2 (Algorithms for Intelligent Systems)
Da: Books Puddle, New York, NY, U.S.A.
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence, 1038)
Libro 526 di 538: Studies in Computational IntelligenceDa: Mispah books, Redhill, SURRE, Regno Unito
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EUR 221,58
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Aggiungi al carrellopaperback. Condizione: New. New. book.
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Machine Learning and Metaheuristics: Methods and Analysis
Libro 89 di 95: Algorithms for Intelligent SystemsEUR 188,08
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
-
Machine Learning and Metaheuristics: Methods and Analysis
Libro 89 di 95: Algorithms for Intelligent SystemsLingua: Inglese
Editore: Springer, Springer Nature Singapore, 2023
ISBN 10: 9819966442 ISBN 13: 9789819966448
EUR 188,08
Spedizione EUR 63,46
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
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EUR 184,85
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Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Deep Learning and Computer Vision: Models and Biomedical Applications | Volume 1 | Uma N. Dulhare (u. a.) | Taschenbuch | Algorithms for Intelligent Systems | xiii | Englisch | 2026 | Springer | EAN 9789819612871 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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EUR 198,81
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.
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Metaheuristics in Machine Learning: Theory and Applications
Libro 475 di 538: Studies in Computational IntelligenceDa: Revaluation Books, Exeter, Regno Unito
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EUR 257,76
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Aggiungi al carrelloHardcover. Condizione: Brand New. 783 pages. 9.25x6.10x1.81 inches. In Stock.
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Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 1
Da: Books Puddle, New York, NY, U.S.A.
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Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 1 (Algorithms for Intelligent Systems)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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Machine Learning and Metaheuristics: Methods and Analysis
Libro 89 di 95: Algorithms for Intelligent SystemsDa: Revaluation Books, Exeter, Regno Unito
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EUR 277,67
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Aggiungi al carrelloHardcover. Condizione: Brand New. 308 pages. 9.25x6.10x0.87 inches. In Stock.
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EUR 221,53
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.
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EUR 223,11
Spedizione EUR 62,58
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.
