A note on the utility of incermental learning

Incrementality; inductive learning

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A note on the utility of incermental learning

机译：关于增量学习效用的注释

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Historically, inductive machine learning has focused on non- incremental learning tasks, i.e., where the training set can be constructed a priori and learning stops once this set has been duly processed. There are, however, a number of areas, such as agents, where learning tasks are incremental.

机译：从历史上看，归纳式机器学习一直专注于非增量学习任务，即，可以先验地构造训练集，并且在适当处理完该集合后就停止学习。但是，在许多领域（例如代理）中，学习任务是递增的。

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《AI communications》 |2000年第4期|p.215-223|共9页
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Incrementality; inductive learning;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类人工智能理论;
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A note on the utility of incermental learning

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