Integrating artificial intelligence visualization (21 risultati)

Lingua: Inglese
Editore: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Altre immaginiLingua: Inglese
Editore: Springer, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery | Boris Kovalerchuk (u. a.) | Taschenbuch | xv | Englisch | 2023 | Springer | EAN 9783030931216 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at…]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Lingua: Inglese
Editore: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Rilegato
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer International Publishing, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and… machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering 'n-D glasses,' where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.This book is a collection of 25 extended works of over 70 scholarspresented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.

Lingua: Inglese
Editore: Springer International Publishing, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machin…e learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering 'n-D glasses,' where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.This book is a collection of 25 extended works of over 70 scholarspresented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.

Lingua: Inglese
Editore: Springer Nature, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: Brand New. 689 pages. 9.25x6.10x1.39 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Lingua: Inglese
Editore: Springer International Publishing, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the current state of the art on combining artificial intelligence and machine learning with visual analyticsPresents research work on computational intelligence, machine learning, vi…sual analytics, and knowledge discoveryCovers int.

Lingua: Inglese
Editore: Springer International Publishing Jun 2023, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intel…ligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering 'n-D glasses,' where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.This book is a collection of 25 extended works of over 70 scholarspresented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes. 692 pp. Englisch.

Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of a…rtificial intelligence (AI) and machin.

Lingua: Inglese
Editore: Springer International Publishing Jun 2022, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 171,19
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence… (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering 'n-D glasses,' where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.This book is a collection of 25 extended works of over 70 scholarspresented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes. 692 pp. Englisch.

Lingua: Inglese
Editore: Springer, Palgrave Macmillan Jun 2023, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intellige…nce (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering 'n-D glasses,' where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.This book is a collection of 25 extended works of over 70 scholarspresented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 692 pp. Englisch.

Lingua: Inglese
Editore: Springer, Palgrave Macmillan Jun 2022, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 171,19
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI…) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering 'n-D glasses,' where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.This book is a collection of 25 extended works of over 70 scholarspresented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 692 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2023
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
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Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 527 di 538. Libro 527 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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