CO-TRAINING

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Weighted Co-Training for Cross-Domain Image SentimentClassification被引量：2
《Journal of Computer Science & Technology》2017年第4期714-725,共12页Meng Chen Lin-Lin Zhang Xiaohui Yu Yang Liu 
Image sentiment classification, which aims to predict the polarities of sentiments conveyed by the images, has gained a lot of attention. Most existing methods address this problem by training a general classifier wit...
关键词：sentiment classification cross-domain weighted co-training 
Combining Committee-Based Semi-Supervised Learning and Active Learning被引量：6
《Journal of Computer Science & Technology》2010年第4期681-698,共18页Mohamed Farouk Abdel Hady Friedhelm Schwenker 
partially supported by the Transregional Collaborative Research Centre SFB/TRR 62 Companion-Technology for Cognitive Technical Systems funded by the German Research Foundation(DFG);supported by a scholarship of the German Academic Exchange Service(DAAD)
Many data mining applications have a large amount of data but labeling data is usually difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supervised learning addresses this prob...
关键词：data mining classification active learning CO-TRAINING semi-supervised learning ensemble learning randomsubspace method decision tree nearest neighbor classifier 
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