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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Preference learning ： ウィキペディア英語版 Preference learning Preference learning is a subfield in machine learning in which the goal is to learn a predictive preference model from observed preference information.〔Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar (2012) ''Foundations of Machine Learning'', The MIT Press ISBN 9780262018258.〕 In the view of supervised learning, preference learning trains on a set of items which have preferences toward labels or other items and predicts the preferences for all items. While the concept of preference learning has been emerged for some time in many fields such as economics,〔 it's a relatively new topic in Artificial Intelligence research. Several workshops have been discussing preference learning and related topics in the past decade.〔 ==Tasks== The main task in preference learning concerns problems in "learning to rank". According to different types of preference information observed, the tasks are categorized as three main problems in the book ''Preference Learning'':〔 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Preference learning」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.