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Preference Learning
. Ed(S): Furnkranz, Johannes; Hullermeier, Eyke
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Description for Preference Learning
Paperback. 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. Editor(s): Furnkranz, Johannes; Hullermeier, Eyke. Num Pages: 475 pages, biography. BIC Classification: UNF; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 24. Weight in Grams: 724.
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. ... Read more
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. ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
475
Condition
New
Number of Pages
466
Place of Publication
Berlin, Germany
ISBN
9783642422300
SKU
V9783642422300
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Preference Learning
From the reviews: “The book looks at three major types of preference learning: label ranking, instance ranking, and object ranking. … chapters contain case studies and actual experiments to illustrate the claims made within. … this is a useful book in an emerging and important area, and hence would be of interest to machine learning researchers. The book is ... Read more