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Preference Learning - Eyke Hüllermeier, Johannes Fürnkranz
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Eyke Hüllermeier, Johannes Fürnkranz:

Preference Learning - encuadernado, tapa blanda

ISBN: 9783642141249

by Fürnkranz, Johannes | Hardcover, Author: Frnkranz, Johannes. They are not actual photos of the physical item for sale and should not be relied upon as a basis for edition or condi… Más…

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Preference Learning / Eyke Hüllermeier (u. a.) / Buch / HC runder Rücken kaschiert / ix / Englisch / 2010 / Springer Berlin / EAN 9783642141249 - Hüllermeier, Eyke
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Hüllermeier, Eyke:

Preference Learning / Eyke Hüllermeier (u. a.) / Buch / HC runder Rücken kaschiert / ix / Englisch / 2010 / Springer Berlin / EAN 9783642141249 - encuadernado, tapa blanda

2010, ISBN: 9783642141249

[ED: Gebunden], [PU: Springer Berlin], The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence… Más…

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Preference Learning | Eyke Hüllermeier (u. a.) | Buch | HC runder Rücken kaschiert | ix | Englisch | 2010 | Springer Berlin | EAN 9783642141249 - Hüllermeier, Eyke
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Hüllermeier, Eyke:
Preference Learning | Eyke Hüllermeier (u. a.) | Buch | HC runder Rücken kaschiert | ix | Englisch | 2010 | Springer Berlin | EAN 9783642141249 - encuadernado, tapa blanda

2010

ISBN: 9783642141249

[ED: Gebunden], [PU: Springer Berlin], The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence… Más…

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Preference Learning
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Preference Learning - encuadernado, tapa blanda

2010, ISBN: 9783642141249

Editor: Fürnkranz, Johannes, Editor: Hüllermeier, Eyke, Springer, Hardcover, Auflage: 2011, 475 Seiten, Publiziert: 2010-10-10T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 76882, 0.96 … Más…

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Preference Learning
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Preference Learning - encuadernado, tapa blanda

2010, ISBN: 9783642141249

Editor: Fürnkranz, Johannes, Editor: Hüllermeier, Eyke, Springer, Hardcover, Auflage: 2011, 475 Seiten, Publiziert: 2010-10-10T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 76882, 0.96 … Más…

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Detalles del libro
Preference Learning

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.

Detalles del libro - Preference Learning


EAN (ISBN-13): 9783642141249
ISBN (ISBN-10): 3642141242
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer
466 Páginas
Peso: 0,915 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2009-04-13T04:35:17+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-01-22T14:19:20+01:00 (Madrid)
ISBN/EAN: 9783642141249

ISBN - escritura alterna:
3-642-14124-2, 978-3-642-14124-9
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: hülle, hull, eyk, twain mark, hüller, hulle, johannes uhl, fürnkranz
Título del libro: preferences, ein yankee aus conneticut, préférence, preference


Datos del la editorial

Autor: Johannes Fürnkranz; Eyke Hüllermeier
Título: Preference Learning
Editorial: Springer; Springer Berlin
466 Páginas
Año de publicación: 2010-10-10
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
171,19 € (DE)
175,99 € (AT)
189,00 CHF (CH)
POD
IX, 466 p.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Artificial intelligence; Data mining; Information retrieval; Instance ranking; Label ranking; Learning; Machine learning; Multicriteria decision-making; Object ranking; Operations research; Preference learning; Preference prediction; Reasoning; Recommender systems; Supevised learning; Artificial Intelligence; Data Mining and Knowledge Discovery; Data Mining; Wissensbasierte Systeme, Expertensysteme; BC

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in recent years. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. Preference learning is concerned with the acquisition of preference models from data – it involves learning from observations that reveal information about the preferences of an individual or a class of individuals, and building models that generalize beyond such training data. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The remainder of the book is organized into parts that follow the developed framework, complementing survey articles with in-depth treatises of current research topics in this area. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.
This is the first book dedicated to this topic This topic has attracted considerable attention in artificial intelligence research in recent years A comprehensive treatment Includes supplementary material: sn.pub/extras

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