Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 135,38
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 135,74
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 155,16
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 155,55
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 159,07
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 159,07
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 179,92
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 191,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 191,40
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 227,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 228,65
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 227,48
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 220,31
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: New. New. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 226,23
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 235,46
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 241,98
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 242,34
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 154,64
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 268,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 277,42
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 372.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 252,29
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 273,99
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2013
ISBN 10: 3642268587 ISBN 13: 9783642268588
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 235,39
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2011
ISBN 10: 3642209793 ISBN 13: 9783642209796
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 235,39
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2011, 2011
ISBN 10: 3642209793 ISBN 13: 9783642209796
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 235,39
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open.Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process.This is where algorithms that learn how to learnl come to rescue.Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn.This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 335,07
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 2011 edition. 372 pages. 9.25x6.10x0.88 inches. In Stock.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2011
ISBN 10: 3642209793 ISBN 13: 9783642209796
Librería: Revaluation Books, Exeter, Reino Unido
EUR 336,46
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 372 pages. 9.00x6.00x1.00 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 194,54
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 202,79
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10: 3642268587 ISBN 13: 9783642268588
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 208,64
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field. 372 pp. Englisch.