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1
Similarity-Based Synthetic Document Representations for Met..:
, In:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Canuto, Sergio
;
Salles, Thiago
;
Rosa, Thierson C.
. - p. 355-364 , 2019
Link:
https://dl.acm.org/doi/10.1145/3331184.3331239
RT T1 <cTitle>Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3331239&Exemplar=1&LAN=DE A1 Canuto, Sergio A1 Salles, Thiago A1 Rosa, Thierson C. A1 Gonçalves, Marcos A. PB ACM YR 2019 K1 classification K1 machine learning K1 meta-features K1 Computing methodologies K1 Machine learning K1 Machine learning approaches SP 355 OP 364 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3331184.3331239 DO https://dl.acm.org/doi/10.1145/3331184.3331239 SF ELIB - SuUB Bremen
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