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Which Is the Strongest of Them All
Editore: Ge Lin Wen Hua/Tsai Fong Books, 2014
ISBN 10: 9861895507 ISBN 13: 9789861895505
hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Saihanba
Lingua: Inglese
Editore: Royal Collins Publishing Company, 2023
ISBN 10: 1487811055 ISBN 13: 9781487811051
Paperback. Condizione: New.
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Shang Hai, Bu Neng Mo Qu De Ji Yi (Chinese Edition)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 20,46
Spedizione EUR 3,33
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Shang Hai, Bu Neng Mo Qu De Ji Yi (Chinese Edition)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 24,08
Spedizione gratuita
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Shang Hai, Bu Neng Mo Qu De Ji Yi (Chinese Edition)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 21,76
Spedizione EUR 13,83
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Saihanba
Lingua: Inglese
Editore: Royal Collins Publishing Company, 2023
ISBN 10: 1487811055 ISBN 13: 9781487811051
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New.
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Ensemble Machine Learning: Methods and Applications
Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Fine. 2017 printing; 340 pp., hardcover, previous owner's name neatly inked to the title page, head of spine rubbed, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Manifold Learning Theory and Applications
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Graph Embedding for Pattern Analysis
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Graph Embedding for Pattern Analysis
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 100,13
Spedizione EUR 3,33
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Manifold Learning Theory and Applications
Lingua: Inglese
Editore: CRC Press, Boca Raton, London, New York, 2012
ISBN 10: 1439871094 ISBN 13: 9781439871096
Da: About Books, Henderson, NV, U.S.A.
Valutazione del venditore 5 su 5 stelle
Prima edizione
Hardcover. Condizione: New condition. NOT a library discard (illustratore). Boca Raton, London, New York: CRC Press, 2012. NEW and unread in PERFECT condition. NO chips, tears, creases, rubbing or fading. Bright and shiny. Sharp corners. Square and tight. Pages are fresh, crisp, clean and unmarked - obviously never read. Oversize Hardcover. 7.25" wide by 10.25" tall. Bound in the original full color pictorial laminated boards, lettered in white and black. From the publisher: "Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread application in machine learning, neural networks, pattern recognition, image processing, and computer vision. Filling a void in the literature, Manifold Learning Theory and Applications incorporates state-of-the-art techniques in manifold learning with a solid theoretical and practical treatment of the subject. Comprehensive in its coverage, this pioneering work explores this novel modality from algorithm creation to successful implementationoffering examples of applications in medical, biometrics, multimedia, and computer vision. Emphasizing implementation, it highlights the various permutations of manifold learning in industry including manifold optimization, large scale manifold learning, semidefinite programming for embedding, manifold models for signal acquisition, compression and processing, and multi scale manifold. Beginning with an introduction to manifold learning theories and applications, the book includes discussions on the relevance to nonlinear dimensionality reduction, clustering, graph-based subspace learning, spectral learning and embedding, extensions, and multi-manifold modeling. It synergizes cross-domain knowledge for interdisciplinary instructions, offers a rich set of specialized topics contributed by expert professionals and researchers from a variety of fields. Finally, the book discusses specific algorithms and methodologies using case studies to apply manifold learning for real-world problems.". 1st ed? (No additional printings listed). Oversize Hardcover. New condition/No dust jacket, as issued. Illus. by NOT a library discard. xxiv, 290pp. Great Packaging, Fast Shipping. 1st ed? (No additional printings listed).
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Imbalanced Learning : Foundations, Algorithms, and Applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 112,77
Spedizione EUR 2,20
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Imbalanced Learning (Hardcover)
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2013
ISBN 10: 1118074629 ISBN 13: 9781118074626
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Prima edizione
Hardcover. Condizione: new. Hardcover. The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, defense, and more. Due to the inherent complex characteristics of imbalanced data sets, learning from such data requires new understandings, principles, algorithms, and tools to transform vast amounts of raw data efficiently into information and knowledge representation. The first comprehensive look at this new branch of machine learning, this book offers a critical review of the problem of imbalanced learning, covering the state of the art in techniques, principles, and real-world applications. Featuring contributions from experts in both academia and industry, Imbalanced Learning: Foundations, Algorithms, and Applications provides chapter coverage on: Foundations of Imbalanced LearningImbalanced Datasets: From Sampling to ClassifiersEnsemble Methods for Class Imbalance LearningClass Imbalance Learning Methods for Support Vector MachinesClass Imbalance and Active LearningNonstationary Stream Data Learning with Imbalanced Class DistributionAssessment Metrics for Imbalanced Learning Imbalanced Learning: Foundations, Algorithms, and Applications will help scientists and engineers learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research directions. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Imbalanced Learning: Foundations, Algorithms, and Applications
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 112,16
Spedizione EUR 3,33
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Imbalanced Learning
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 113,33
Spedizione EUR 5,79
Spedito da Regno Unito a U.S.A.Quantità: 15 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Graph Embedding for Pattern Analysis
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Graph Embedding for Pattern Analysis (Paperback)
Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, 2014
ISBN 10: 1489990623 ISBN 13: 9781489990624
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Graph Embedding for Pattern Analysis
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 112,11
Spedizione EUR 13,83
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Graph Embedding for Pattern Analysis
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 112,11
Spedizione EUR 13,83
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Graph Embedding for Pattern Analysis
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 112,73
Spedizione EUR 17,88
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
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Graph Embedding for Pattern Analysis
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Graph Embedding for Pattern Analysis (Hardcover)
Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 146144456X ISBN 13: 9781461444565
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Graph Embedding for Pattern Analysis
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 268.
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Rise of the Middle Class in Contemporary China
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 131,02
Spedizione EUR 2,20
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Imbalanced Learning : Foundations, Algorithms, and Applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 131,28
Spedizione EUR 2,20
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Rise of the Middle Class in Contemporary China
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 135,93
Spedizione EUR 2,20
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Rise of the Middle Class in Contemporary China
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 139,18
Spedizione EUR 2,20
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Rise of the Middle Class in Contemporary China
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 139,93
Spedizione EUR 2,20
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Imbalanced Learning : Foundations, Algorithms, and Applications
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 129,56
Spedizione EUR 17,31
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
