. .
Deutsch
Deutschland
Ähnliche Bücher
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Suchtools
Anmelden

Anmelden mit Facebook:

Registrieren
Passwort vergessen?


Such-Historie
Merkliste
Links zu eurobuch.com

Dieses Buch teilen auf…
..?
Buchtipps
Aktuelles
Tipp von eurobuch.com
FILTER
- 0 Ergebnisse
Kleinster Preis: 123.04 EUR, größter Preis: 159.48 EUR, Mittelwert: 133.4 EUR
Preference Learning - Johannes Fürnkranz
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Johannes Fürnkranz:

Preference Learning - gebunden oder broschiert

ISBN: 9783642141249

ID: 9783642141249

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. 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 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. Data Mining (EDV) Intelligenz / Künstliche Intelligenz KI Künstliche Intelligenz - AI AI ( Künstliche Intelligenz ), Springer-Verlag GmbH

Neues Buch Rheinberg-Buch.de
Buch, Englisch, Neuware Versandkosten:Sofort lieferbar, DE. (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Preference Learning - Springer
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

Springer:

Preference Learning - neues Buch

ISBN: 9783642141249

ID: 107355400

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. The first book dedicated to this new branch of machine learning and data mining, this comprehensive treatment, which covers everything from label ranking to preference learning and recommender systems, will be required reading for researchers working in AI. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher>Schule & Lernen, Springer

Neues Buch Thalia.de
No. 21709273 Versandkosten:, Sofort lieferbar, DE (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Preference Learning - Johannes F?rnkranz; Eyke H?llermeier
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Johannes F?rnkranz; Eyke H?llermeier:
Preference Learning - gebrauchtes Buch

ISBN: 3642141242

ID: 7547355

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. artificial intelligence,computer science,computers and technology,data mining,databases,human vision and language systems,machine learning,textbooks Databases, Springer

gebrauchtes bzw. antiquarisches Buch Thriftbooks.com
used Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Preference Learning - Johannes Fürnkranz
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Johannes Fürnkranz:
Preference Learning - neues Buch

ISBN: 9783642141249

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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., [SC: 0.00]

Neues Buch Booklooker.de
Carl Hübscher GmbH
Versandkosten:Versandkostenfrei, Versand nach Deutschland (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Preference Learning - Johannes Fürnkranz
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Johannes Fürnkranz:
Preference Learning - gebunden oder broschiert

ISBN: 3642141242

ID: 9783642141249

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. HC/Informatik, EDV/Anwendungs-Software[PU:Springer-Verlag GmbH], [PU: Springer, Berlin/Heidelberg/New York, NY]

Neues Buch Bides.de
Bides
Sofort lieferbar Versandkosten:zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.

< zum Suchergebnis...
Details zum Buch
Preference Learning
Autor:

Johannes Fürnkranz

Titel:

Preference Learning

ISBN-Nummer:

9783642141249

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.

Detailangaben zum Buch - Preference Learning


EAN (ISBN-13): 9783642141249
ISBN (ISBN-10): 3642141242
Gebundene Ausgabe
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
466 Seiten
Gewicht: 0,915 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 13.04.2009 04:35:17
Buch zuletzt gefunden am 19.05.2016 12:03:09
ISBN/EAN: 9783642141249

ISBN - alternative Schreibweisen:
3-642-14124-2, 978-3-642-14124-9

< zum Suchergebnis...
< zum Archiv...
Benachbarte Bücher