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XU Tengteng,HUANG Hengjun • Jisuanji gongcheng
(2018)
Supervised-Latent Dirichlet Distribution Allocation (s-LDA) model cannot handle the multi-label problem and s-LDA model is not correct distribution in the classification model.The Supervised Labled-LDA(sl-LDA) model is proposed by adding a ...
DOAJ
Open Access (DOAJ)
Cristian Cosentino, Simone Gatto, Pietro Liò, Fabrizio Marozzo • Future Internet
(2026)
Machine Learning (ML) models trained on large-scale datasets learn useful predictive patterns, but they may also memorize undesired information, leading to risks such as information leakage, bias, copyright violations, and privacy attacks. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi18030174
Héctor Cordobés, Antonio Fernández Anta, Luis F. Chiroque, Fernando Pérez et al. • International Journal of Interactive Multimedia and Artificial Intelligence
(2014)
Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) selected terms from the...
DOAJ
Open Access (DOAJ)
DOI: 10.9781/ijimai.2014.254