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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mariusz, Flasiński | - |
dc.contributor.author | Janusz, Jurek | - |
dc.contributor.author | Tomasz, Peszek | - |
dc.date.accessioned | 2023-04-26T02:32:12Z | - |
dc.date.available | 2023-04-26T02:32:12Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s10044-022-01120-0 | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8309 | - |
dc.description | CC BY | vi |
dc.description.abstract | The method of the learning of vague languages which represent distorted/ambiguous patterns is proposed in the paper. The goal of the method is to infer the quasi-context-sensitive string grammar which is used in our model as the generator of patterns. The method is an important component of the multi-derivational model of the parsing of vague languages used for syntactic pattern recognition. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | syntactic pattern recognition | vi |
dc.title | On the learning of vague languages for syntactic pattern recognition | vi |
dc.type | Book | vi |
Appears in Collections | ||
OER - Công nghệ thông tin |
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