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1. Aprendizado semissupervisionado multidescrição em classificação de textos / Multi-view semi-supervised learning in text classification
Semi-supervised learning algorithms learn from a combination of both labeled and unlabeled data. Thus, they can be applied in domains where few labeled examples and a vast amount of unlabeled examples are available. Furthermore, semi-supervised learning algorithms may achieve a better performance than supervised learning algorithms trained on the same few la
Publicado em: 2010