Cause Effect Pairs Machine (27 results)
Language: English
Published by Cham, Springer. 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
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Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, , GermanyUniversitätsbuchhandlung Herta Hold GmbH
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XVI, 372 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. The Springer Series on Challenges in Machine Learning. Sprache: Englisc…h.
Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
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Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
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Condition: New. pp. XVI, 372 122 illus., 90 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
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Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
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More imagesLanguage: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Taschenbuch. Condition: Neu. Cause Effect Pairs in Machine Learning | Isabelle Guyon (u. a.) | Taschenbuch | xvi | Englisch | 2020 | Springer | EAN 9783030218126 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Cause Effect Pairs in Machine Learning
Guyon, Isabelle (Editor)/ Statnikov, Alexander (Editor)/ Batu, Berna Bakir (Editor)
Language: English
Published by Springer-Nature New York Inc 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Paperback. Condition: Brand New. 388 pages. 9.25x6.10x0.94 inches. In Stock.
Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Language: English
Published by Springer International Publishing, Springer International Publishing 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents ground-breaking advances in the domain of causal structure learning.The problem of distinguishing cause from effect('Does altitude cause a change in atmospheric pressure, or vice versa ') is here cast as a binary classification p…roblem, to be tackled by machine learning algorithms. Based on the results of theChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a 'causal mechanism', in the sense that the values of one variable may have been generated from the values of the other.This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website.Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences.
Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
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Condition: New. pp. XVI, 372 122 illus., 90 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Paperback. Condition: New. New. book.
Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Language: English
Published by Springer International Publishing, Springer Nature Switzerland 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents ground-breaking advances in the domain of causal structure learning.The problem of distinguishing cause from effect('Does altitude cause a change in atmospheric pressure, or vice versa ') is here cast as a binary classification problem,… to be tackled by machine learning algorithms. Based on the results of theChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a 'causal mechanism', in the sense that the values of one variable may have been generated from the values of the other.This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website.Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences.
Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 372 pages. 9.25x6.25x1.00 inches. In Stock.
Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
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Language: English
Published by Springer International Publishing, Springer International Publishing Nov 2020 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents ground-breaking advances in the domain of causal structure learning.The problem of distinguishing cause from effect('Does altitude cause a change in atmospheric pressure, or vice versa ') is here cast as a binary…classification problem, to be tackled by machine learning algorithms. Based on the results of theChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a 'causal mechanism', in the sense that the values of one variable may have been generated from the values of the other.This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website.Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences. 388 pp. Englisch.
Language: English
Published by Springer International Publishing 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive reference for those interested in the cause-effect problem, and how to tackle them using machine learning algorithmsIncludes six tutorial chapters, beginning with the… simplest cases and common methods, to alg.
Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Condition: New. Print on Demand pp. XVI, 372 122 illus., 90 illus. in color.
Language: English
Published by Springer 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. XVI, 372 122 illus., 90 illus. in color.
Language: English
Published by Springer, Springer Nov 2020 2020
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect ('Does altitude cause a change in atmospheric pressure, or vice versa ') is here cast as a binary cl…assification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a 'causal mechanism', in the sense that the values of one variable may have been generated from the values of the other.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 388 pp. Englisch.
Language: English
Published by Springer International Publishing 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
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Seller: moluna, Greven, , Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive reference for those interested in the cause-effect problem, and how to tackle them using machine learning algorithmsIncludes six tutorial chapters, beginning with the simplest cases and commo…n methods, to alg.
Language: English
Published by Springer International Publishing, Springer Nature Switzerland Nov 2019 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents ground-breaking advances in the domain of causal structure learning.The problem of distinguishing cause from effect('Does altitude cause a change in atmospheric pressure, or vice versa ') is here cast as a binary classif…ication problem, to be tackled by machine learning algorithms. Based on the results of theChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a 'causal mechanism', in the sense that the values of one variable may have been generated from the values of the other.This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website.Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences. 388 pp. Englisch.
Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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Condition: New. Print on Demand pp. XVI, 372 122 illus., 90 illus. in color.
Language: English
Published by Springer 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. XVI, 372 122 illus., 90 illus. in color.
Language: English
Published by Springer, Springer Nov 2019 2019
Series: The Springer Series on Challenges in Machine Learning, Book 7 of 8. Book 7 of 8 - The Springer Series on Challenges in Machine Learning
- Hardcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect ('Does altitude cause a change in atmospheric pressure, or vice versa ') is here cast as a binary classific…ation problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a 'causal mechanism', in the sense that the values of one variable may have been generated from the values of the other.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.
