Xueyuan Zhou
Xueyuan Zhou
PhD, Computer Science, University of Chicago
確認したメール アドレス: cs.uchicago.edu - ホームページ
タイトル引用先
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
652009
Semi-supervised learning by higher order regularization
X Zhou, M Belkin
Proceedings of the Fourteenth International Conference on Artificial …, 2011
602011
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
572009
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
362011
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
182012
Advances in Neural Information Processing Systems 22
B Nadler, N Srebro, X Zhou
Curran Associates Inc, 1330-1338, 2009
142009
Error analysis of Laplacian eigenmaps for semi-supervised learning
X Zhou, N Srebro
Proceedings of the Fourteenth International Conference on Artificial …, 2011
112011
Text Classification by Markov Random Walks with Reward.
X Zhou, C Li
DMIN, 275-278, 2005
72005
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
42012
Semi-supervised classification based on smooth graphs
X Zhou, C Li
International Conference on Database Systems for Advanced Applications, 757-766, 2006
32006
Combining smooth graphs with semi-supervised classification
X Zhou, C Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 400-409, 2006
22006
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
22006
Behavior of graph Laplacians on manifolds with boundary
X Zhou, M Belkin
arXiv preprint arXiv:1105.3931, 2011
12011
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
2014
Semi-Supervised Learning: Some Recent Advances
V Sindhwani, A Saha, X Zhou
Cost-Sensitive Machine Learning, 46-74, 2011
2011
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
Semi-supervised learning using gaussian fields and harmonic functions.
D Zhang, M Belkin, P Niyogi, M Belkin, P Niyogi, V Sindhwani, I Cohen, ...
Information Technology Journal 13 (1), 1373-1396, 2003
2003
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