| Semi-Supervised Learning in Academic Press Library in Signal Processing X Zhou, M Belkin Academic Press Library in Signal Processing 1 (Signal Processing Theory and …, 2014 | 141 | 2014 |
| Semi-supervised learning with the graph laplacian: The limit of infinite unlabelled data B Nadler, N Srebro, X Zhou Advances in neural information processing systems 22, 1330-1338, 2009 | 122 | 2009 |
| Semi-supervised learning by higher order regularization X Zhou, M Belkin Proceedings of the fourteenth international conference on artificial …, 2011 | 115 | 2011 |
| Statistical analysis of semi-supervised learning: The limit of infinite unlabelled data B Nadler, N Srebro, X Zhou Advances in Neural Information Processing Systems 22, 1330-1338, 2009 | 90 | 2009 |
| An iterated graph laplacian approach for ranking on manifolds X Zhou, M Belkin, N Srebro Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 44 | 2011 |
| Toward understanding complex spaces: Graph laplacians on manifolds with singularities and boundaries M Belkin, Q Que, Y Wang, X Zhou Conference on learning theory, 36.1-36.26, 2012 | 34 | 2012 |
| Error analysis of Laplacian eigenmaps for semi-supervised learning X Zhou, N Srebro Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 22 | 2011 |
| Text Classification by Markov Random Walks with Reward. X Zhou, C Li DMIN, 275-278, 2005 | 9 | 2005 |
| Graph laplacians on singular manifolds: Toward understanding complex spaces: Graph laplacians on manifolds with singularities and boundaries M Belkin, Q Que, Y Wang, X Zhou arXiv preprint arXiv:1211.6727, 2012 | 5 | 2012 |
| Semi-supervised classification based on smooth graphs X Zhou, C Li International Conference on Database Systems for Advanced Applications, 757-766, 2006 | 3 | 2006 |
| Semi-Supervised Text Classification Using Positive and Unlabeled Data S Yu, X Zhou, C Li Proceedings of the 2006 conference on Advances in Intelligent IT: Active …, 2006 | 3 | 2006 |
| Behavior of graph Laplacians on manifolds with boundary X Zhou, M Belkin arXiv preprint arXiv:1105.3931, 2011 | 2 | 2011 |
| Combining smooth graphs with semi-supervised classification X Zhou, C Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 400-409, 2006 | 2 | 2006 |
| Learning functions on unknown manifolds X Zhou The University of Chicago, 2011 | | 2011 |
| Exploiting Geometric Structure of High Dimensional Data for Learning: An Empirical Study X Zhou | | 2008 |
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarVerified email at ucsd.edu
