Idioma: Inglés
Publicado por Elsevier Science & Technology, 1990
ISBN 10: 0124192408 ISBN 13: 9780124192409
Librería: Better World Books: West, Reno, NV, Estados Unidos de America
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Añadir al carritoCondición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
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Añadir al carritoPaperback. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Librería: GuthrieBooks, Spring Branch, TX, Estados Unidos de America
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Añadir al carritoPaperback. Condición: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.
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Idioma: Inglés
Publicado por Dissertation.com 10/20/2011, 2011
ISBN 10: 1612337570 ISBN 13: 9781612337579
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Añadir al carritoPaperback or Softback. Condición: New. Head-Order Techniques and Other Pragmatics of Lambda Calculus Graph Reduction. Book.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
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Añadir al carritoPaperback. Condición: New.
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Idioma: Inglés
Publicado por Dissertation.Com 2011-10-20, 2011
ISBN 10: 1612337570 ISBN 13: 9781612337579
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Añadir al carritoPaperback. Condición: Brand New. 172 pages. 9.25x6.00x0.39 inches. In Stock.
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Añadir al carritoCondición: New. pp. 168 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Añadir al carritoCondición: New. pp. xvi + 450.
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Añadir al carritoCondición: New. pp. xvi + 450 Illus.
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Añadir al carritoCondición: New. pp. xvi + 450.
Idioma: Inglés
Publicado por Springer Nature Switzerland, 2024
ISBN 10: 3031423151 ISBN 13: 9783031423154
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 42,79
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer International Publishing, 2023
ISBN 10: 3031423127 ISBN 13: 9783031423123
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 42,79
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.
Librería: preigu, Osnabrück, Alemania
EUR 41,35
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Añadir al carritoTaschenbuch. Condición: Neu. Dynamic Graph Learning for Dimension Reduction and Data Clustering | Lei Zhu (u. a.) | Taschenbuch | Synthesis Lectures on Computer Science | xxi | Englisch | 2024 | Springer | EAN 9783031423154 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: New.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume describes recent research in graph reduction and related areas of functional and logic programming, as reported at a workshop in 1986. The papers are based on the presentations, and because the final versions were prepared after the workshop, they reflect some of the discussions as well. Some benefits of graph reduction can be found in these papers: - A mathematically elegant denotational semantics - Lazy evaluation, which avoids recomputation and makes programming with infinite data structures (such as streams) possible - A natural tasking model for fine-to-medium grain parallelism. The major topics covered are computational models for graph reduction, implementation of graph reduction on conventional architectures, specialized graph reduction architectures, resource control issues such as control of reduction order and garbage collection, performance modelling and simulation, treatment of arrays, and the relationship of graph reduction to logic programming.
Librería: preigu, Osnabrück, Alemania
EUR 50,25
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Añadir al carritoTaschenbuch. Condición: Neu. Graph Reduction | Proceedings of a Workshop Santa Fe, New Mexico, USA, September 29 - October 1, 1986 | Joseph H. Fasel (u. a.) | Taschenbuch | xvi | Englisch | 1987 | Springer | EAN 9783540184201 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Buchpark, Trebbin, Alemania
EUR 22,44
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838349857 ISBN 13: 9783838349855
Librería: preigu, Osnabrück, Alemania
EUR 57,95
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Añadir al carritoTaschenbuch. Condición: Neu. Physical Model Reduction | A Bond Graph Approach for Engineering Systems | Ali Yurdun Orbak | Taschenbuch | 184 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838349855 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Librería: Buchpark, Trebbin, Alemania
EUR 32,17
Cantidad disponible: 7 disponibles
Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.