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上海师范大学
Published:1987
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[1]尹巨炼.结构模式识别中一种利用负采样的学习方法[J].电子学报,1987(02):1-6.
Yin Ju-liap. A Learning Method with Negative-Sample Information in Syntactic Pattern Recognition[J]. Acta Electronica Sinica, 1987, (2): 1-6.
本文新定义了一类含参量T的属于有限状态文法类的T度相似微商文法Gc。
使被推断文法的结构既依赖于正采样集S+
又受T值的控制。因此
本文给出的方法
在有限状态文法范围内
比较好地解决了目前在文法推断领域中无法利用负采样信息以限制技推断文法的问题。
A new kind of finit-state grammer is defined as T-degree similar derivation grammer GODT having Parameter T. The structure of this grammer GCDT not only depends on the positive sample set S+
but is also controlled by Parameter T. In the process of grammatical inference
use can be made of the information provided by the negative-sample set S- to control Parameter T for modification of the inferred grammer. So the inferred grammer GCDT meets the following requirement:This learning method gives a satisfactory solution to the problem which so far has not been solved in the extent of finite-state grammer. The problem is that the inferred grammer cannot be modified by means of the negative-sample information.
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