| 書(shū)目名稱(chēng) | Lazy Learning | | 編輯 | David W. Aha | | 視頻video | http://file.papertrans.cn/583/582147/582147.mp4 | | 圖書(shū)封面 |  | | 描述 | This edited collection describes recent progress on lazylearning, a branch of machine learning concerning algorithms thatdefer the processing of their inputs, reply to information requests bycombining stored data, and typically discard constructed replies. Itis the first edited volume in AI on this topic, whose many synonymsinclude `instance-based‘, `memory-based‘. `exemplar-based‘, and `locallearning‘, and whose topic intersects case-based reasoning and editedk-nearest neighbor classifiers. It is intended for AI researchers andstudents interested in pursuing recent progress in this branch ofmachine learning, but, due to the breadth of its contributions, itshould also interest researchers and practitioners of data mining,case-based reasoning, statistics, and pattern recognition. | | 出版日期 | Book 1997 | | 關(guān)鍵詞 | algorithms; case-based reasoning; classification; cognition; data mining; learning; machine learning | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-017-2053-3 | | isbn_softcover | 978-90-481-4860-8 | | isbn_ebook | 978-94-017-2053-3 | | copyright | Springer Science+Business Media Dordrecht 1997 |
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