Geoscience Reference
In-Depth Information
[198] Dengyong Zhou, Olivier Bousquet, Thomas Lal, Jason Weston, and Bernhard Schlkopf.
Learning with local and global consistency.
In Advances in Neural Information Processing
System 16 , 2004.
[199] Dengyong Zhou, Jiayuan Huang, and Bernhard Schoelkopf. Learning with hypergraphs:
Clustering, classification, and embedding. In Advances inNeural Information Processing Systems
(NIPS) 19 , 2006.
[200] Dengyong Zhou, Jiayuan Huang, and Bernhard Schölkopf. Learning from labeled and un-
labeled data on a directed graph.
In ICML05, 22nd International Conference on Machine
Learning , Bonn, Germany, 2005.
[201] Yan Zhou and Sally Goldman. Democratic co-learing. In Proceedings of the 16th
IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004) , 2004.
DOI: 10.1109/ICTAI.2004.48
[202] Z.-H. Zhou, K.-J. Chen, and H.-B. Dai. Enhancing relevance feedback in image re-
trieval using unlabeled data. ACMTransactions on Information Systems , 24(2):219-244, 2006.
DOI: 10.1145/1148020.1148023
[203] Z.-H. Zhou, K.-J. Chen, and Y. Jiang. Exploiting unlabeled data in content-based image
retrieval. In Proceedings of ECML-04, 15th European Conference on Machine Learning , Italy,
2004. DOI: 10.1007/b100702
[204] Z.-H. Zhou, D.-C. Zhan, and Q. Yang.
Semi-supervised learning with very few labeled
training examples.
In Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07) ,
2007.
[205] Zhi-Hua Zhou and Ming Li. Semi-supervised regression with co-training. In International
Joint Conference on Artificial Intelligence (IJCAI) , 2005.
[206] Zhi-Hua Zhou and Ming Li. Tri-training: exploiting unlabeled data using three classi-
fiers. IEEE Transactions on Knowledge and Data Engineering , 17(11):1529-1541, 2005.
DOI: 10.1109/TKDE.2005.186
[207] Zhi-Hua Zhou and Jun-Ming Xu. On the relation between multi-instance learning and
semi-supervised learning. In The 24th International Conference on Machine Learning , 2007.
DOI: 10.1145/1273496.1273643
[208] Xiaojin Zhu. Semi-supervised learning literature survey. Technical Report 1530, Department
of Computer Sciences, University of Wisconsin, Madison, 2005.
[209] Xiaojin Zhu and Zoubin Ghahramani. Towards semi-supervised classification with Markov
random fields. Technical Report CMU-CALD-02-106, Carnegie Mellon University, 2002.
Search WWH ::




Custom Search