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Aha, David W. 编作者

Kluwer Academic Pub

译者

1997-5 出版日期

427 页数

$ 202.27 价格

HRD

丛书系列

9780792345848 图书编码

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Lazy Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Lazy Learning 在线电子书图书描述

This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the processing of their inputs, reply to information requests by combining stored data, and typically discard constructed replies. It is the first edited volume in AI on this topic, whose many synonyms include 'instance-based', 'memory-based'. 'exemplar-based', and 'local learning', and whose topic intersects case-based reasoning and edited k-nearest neighbor classifiers. It is intended for AI researchers and students interested in pursuing recent progress in this branch of machine learning, but, due to the breadth of its contributions, it should also interest researchers and practitioners of data mining, case-based reasoning, statistics, and pattern recognition.

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