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APE

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摘要

The APE (Adaptive Programming Environment) project focuses on applying Machine Learning techniques to embed a software assistant into the VisualWorks Smalltalk interactive programming environment. The assistant is able to learn user's habits and to automatically suggest to perform repetitive tasks on his behalf. This paper describes our assistant and focuses more particularly on the learning issue. It explains why state-of-the-art Machine Learning algorithms fail to provide an efficient solution for learning user's habits, and shows, through experiments on real data that a new algorithm we have designed for this learning task, achieves better results than related algorithms.

机译:

APE(自适应编程环境)项目专注于应用机器学习技术将软件助手嵌入到VisualWorks Smalltalk交互式编程环境中。助手能够学习用户的习惯,并自动建议代表他执行重复性任务。本文介绍了我们的助手,尤其侧重于学习问题。它解释了为什么最新的机器学习算法无法为学习用户的习惯提供有效的解决方案,并通过对真实数据的实验证明我们为此学习任务设计的新算法比相关算法获得了更好的结果

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