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在搜索中利用启发式信息,是目前控制搜索方向的主要方法。
Use elicitation method information through search, it's a main method at present to control direction of search.
另外,利用这种启发式信息,提出了一种解决噪音问题的方法。
Additionally, using the heuristic information, this paper proposes a solving data noise problem method.
决策树的学习算法,比如id3算法,选用最小信息熵作为启发式信息。
Minimum entropy is chosen as a heuristic strategy in decision tree (DT) learning algorithm such as ID3.
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