Funder
The Natural Science Foundation of Jiangxi Province, China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Reference57 articles.
1. Ao X et al (2014) Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf Sci 257:101–114
2. Basu S, Banerjee A, Mooney R (2002) “Semi-supervised clustering by seeding.” In: Proceedings of 19th international conference on machine learning (ICML-2002)
3. Basu S, Bilenko M, Mooney RJ (2003) “Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering.” Proceedings of the ICML-2003 workshop on the continuum from labeled to unlabeled data in machine learning and data mining
4. Bennett KP, Demiriz A (1999) “Semi-supervised support vector machines.” Advances in Neural Information processing system
5. Bi J, Zhang C (2018) An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme. Knowl Based Syst 158:81–93
Cited by
8 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