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Preference Learning | Eyke Hüllermeier (u. a.) | Buch | HC runder Rücken kaschiert | ix | Englisch | 2010 | Springer Berlin | EAN 9783642141249 - encadernado, livro de bolso
2010, ISBN: 9783642141249
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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 … mais…
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ISBN: 9783642141249
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Hüllermeier, Eyke:
Preference Learning / Eyke Hüllermeier (u. a.) / Buch / HC runder Rücken kaschiert / ix / Englisch / 2010 / Springer Berlin / EAN 9783642141249 - encadernado, livro de bolso2010, 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… mais…
Preference Learning | Eyke Hüllermeier (u. a.) | Buch | HC runder Rücken kaschiert | ix | Englisch | 2010 | Springer Berlin | EAN 9783642141249 - encadernado, livro de bolso
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… mais…
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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 … mais…
no/na amazon.co.uk
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 … mais…
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Número ISBN: |
Dados detalhados do livro - Preference Learning
EAN (ISBN-13): 9783642141249
ISBN (ISBN-10): 3642141242
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer
466 Páginas
Peso: 0,915 kg
Língua: eng/Englisch
Livro na base de dados desde 2009-04-13T03:35:17+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-01-22T13:19:20+00:00 (Lisbon)
Número ISBN/EAN: 9783642141249
Número ISBN - Ortografia alternativa:
3-642-14124-2, 978-3-642-14124-9
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: hülle, hull, eyk, twain mark, hüller, hulle, johannes uhl, fürnkranz
Título do livro: preferences, ein yankee aus conneticut, préférence, preference
Dados da editora
Autor: Johannes Fürnkranz; Eyke Hüllermeier
Título: Preference Learning
Editora: Springer; Springer Berlin
466 Páginas
Ano de publicação: 2010-10-10
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
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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