Một thuật toán tổng quát hóa
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DOI:
https://doi.org/10.15625/1813-9663/6/3/11145Abstract
The ability to generalize rules from examples is well known as an essential capability of a learning system. Generalization involves observing a set of training examples of some general concepts, identifying the essential features common to these examples, and then formulating a concept definition based on these common features.
In this article we describe a new generalization method in order to construct from a large set of examples a rule base describing the concepts which can be used by an expert system to recognize unknown objects in a particular domain.
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Published
30-01-2018
How to Cite
[1]
T. T. Thanh Huyen and H. T. Bao, “Một thuật toán tổng quát hóa”, JCC, vol. 6, no. 3, p. 19–26, Jan. 2018.
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Section
Computer Science
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