Publisher
Springer Berlin Heidelberg
Reference16 articles.
1. Blum, A., Mitchell, T.: Combining labeled and unlabeled data with co-training. In: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, pp. 92–100 (1998)
2. Bockhorst, J., Craven, M.: Exploiting relations among concepts to acquire weakly labeled training data. In: Proceedings of the IEEE International Conference on Machine Learning, pp. 43–50 (2002)
3. Cohen, I., Cozman, F., Sebe, N., Cirelo, M., Huang, T.: Semisupervised learning of classifiers: Theory, algorithms, and their application to human computer interaction. IEEE Transaction on Pattern Analysis and Machine Intelligence 26(12), 1553–1567 (2004)
4. Joachims, T.: Text categorization with support vector machines: Learning with many relevant features. In: Proceedings of 10th European Conference on Machine Learning, pp. 137–142 (1998)
5. Lam, W., Chan, K., Radev, D., Saggion, H., Teufel, S.: Context-based generic cross-lingual retrieval of documents and automated summaries. Journal of American Society for Information Science and Technology, 129–139 (2005)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Detecting Adverse Drug Reactions from User-Generated Twitter Data: A Case Study;2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2022-11
2. Artificial immune system for illicit content identification in social media;Journal of the American Society for Information Science and Technology;2011-10-28