Learning Ordinal Preferences on Multiattribute Domains: the Case of CP-Nets
Chevaleyre, Yann; Koriche, Frédéric; Lang, Jérôme; Mengin, Jérôme; Zanuttini, Bruno (2010), Learning Ordinal Preferences on Multiattribute Domains: the Case of CP-Nets, in Hüllermeier, Eyke, Preference Learning, Springer : Berlin Heidelberg, p. 454
Book titlePreference Learning
Book authorHüllermeier, Eyke
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Abstract (EN)A recurrent issue in automated decision making is to extract a preference structure from a set of examples. In this paper, we investigate the problem of learningordinal preference orderings over discrete multattribute, or combinatorial,domains. Specifically, we concentrate on the learnability issue of conditional preference networks, or CP-nets, that have recently emerged as a popular graphicallanguage for representing ordinal preferences in a concise and intuitive manner.This paper provides results in both passive and active learning. In passive learning, the learner aims at finding a CP-net compatible with a given set of examples,while in active learning the learner searches for the cheapest interaction policy with the user for acquiring the target CP-net.
Subjects / KeywordsPreference relations; CP-Nets
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