On the learning of vague languages for syntactic pattern recognition
CC BY
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Định dạng: | Sách |
Ngôn ngữ: | English |
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Springer
2023
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Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10044-022-01120-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8309 |
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oai:localhost:PNK-83092023-04-26T02:32:12Z On the learning of vague languages for syntactic pattern recognition Mariusz, Flasiński Janusz, Jurek Tomasz, Peszek syntactic pattern recognition CC BY 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. 2023-04-26T02:32:12Z 2023-04-26T02:32:12Z 2022 Book https://link.springer.com/article/10.1007/s10044-022-01120-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8309 en application/pdf Springer |
institution |
Digital Phenikaa |
collection |
Digital Phenikaa |
language |
English |
topic |
syntactic pattern recognition |
spellingShingle |
syntactic pattern recognition Mariusz, Flasiński Janusz, Jurek Tomasz, Peszek On the learning of vague languages for syntactic pattern recognition |
description |
CC BY |
format |
Book |
author |
Mariusz, Flasiński Janusz, Jurek Tomasz, Peszek |
author_facet |
Mariusz, Flasiński Janusz, Jurek Tomasz, Peszek |
author_sort |
Mariusz, Flasiński |
title |
On the learning of vague languages for syntactic pattern recognition |
title_short |
On the learning of vague languages for syntactic pattern recognition |
title_full |
On the learning of vague languages for syntactic pattern recognition |
title_fullStr |
On the learning of vague languages for syntactic pattern recognition |
title_full_unstemmed |
On the learning of vague languages for syntactic pattern recognition |
title_sort |
on the learning of vague languages for syntactic pattern recognition |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s10044-022-01120-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8309 |
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1764268033205862400 |
score |
8.891145 |