Semi-supervised trees for multi-target regression

J Levatić, D Kocev, M Ceci, S Džeroski - Information Sciences, 2018 - Elsevier
The predictive performance of traditional supervised methods heavily depends on the
amount of labeled data. However, obtaining labels is a difficult process in many real-life …
被引用次数：52 相关文章

Semi-supervised trees for multi-target regression

J Levatić, D Kocev, M Ceci, S Džeroski - INFORMATION SCIENCES, 2018 - ricerca.uniba.it
The predictive performance of traditional supervised methods heavily depends on the
amount of labeled data. However, obtaining labels is a difficult process in many real-life …

Semi-supervised trees for multi-target regression

J Levati, D Kocev, M Ceci, S Deroski - Information Sciences—Informatics …, 2018 - dl.acm.org
The predictive performance of traditional supervised methods heavily depends on the
amount of labeled data. However, obtaining labels is a difficult process in many real-life …
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[PDF][PDF] Semi-supervised trees for multi-target regression

J Levatica, D Koceva, M Cecic, S Dzeroskia - ricerca.uniba.it
The predictive performance of traditional supervised methods heavily depends on the
amount of labeled data. However, obtaining labels is a difficult process in many real life …