Learning from order examples
Learning from order examples
复制标题
从订单示例中学习
DOI：
10.1109/icdm.2002.1184019
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
S. Akaho
中科院分区：
文献类型：
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作者：
Toshihiro Kamishima;S. Akaho
我们提倡一种新的学习任务，处理项目的顺序，我们称之为从顺序示例（LOE）任务的学习。该任务的目的是获得用于估计给定无序项集的正确顺序的规则。该规则是从训练样本中获得的，这些样本是有序的项目集。我们提出了几种解决方案的方法，这项任务，并评估这些方法的性能和特点的基础上，使用人工数据和现实数据的测试的实验结果。
We advocate a new learning task that deals with orders of items, and we call this the learning from order examples (LOE) task. The aim of the task is to acquire the rule that is used for estimating the proper order of a given unordered item set. The rule is acquired from training examples that are ordered item sets. We present several solution methods for this task, and evaluate the performance and the characteristics of these methods based on the experimental results of tests using both artificial data and realistic data.