Xiaojin Zhu

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Andrew B. GoldbergPh.D., University of Wisconsin-Madison / Arcode CorporationEmail verificata su cs.wisc.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleEmail verificata su eng.cam.ac.uk
Robert D NowakNosbusch Professor in Engineering and Wisconsin Institute for Discovery, UW-MadisonEmail verificata su ece.wisc.edu
Jun-Ming XuGoogleEmail verificata su wisc.edu
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonEmail verificata su wisc.edu
Roni RosenfeldProfessor, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
David M. AndrzejewskiEngineering, Sumo LogicEmail verificata su wisc.edu
Kwang-Sung JunThe University of ArizonaEmail verificata su cs.arizona.edu
Paul BarfordProfessor of Computer Science, University of Wisconsin - MadisonEmail verificata su cs.wisc.edu
Amy BellmoreProfessor of Human Development, University of Wisconsin-MadisonEmail verificata su wisc.edu
charles kalishEmeritus Professor of Educational Psychology, university of Wisconsin MadisonEmail verificata su wisc.edu
Yuzhe MaUniversity of Wisconsin-Madison, Ph.D. CandidateEmail verificata su wisc.edu
Xuezhou ZhangUniversity of Wisconsin-MadisonEmail verificata su cs.wisc.edu
Charles R. DyerProfessor of Computer Science, University of Wisconsin - MadisonEmail verificata su cs.wisc.edu
Mark CravenProfessor of Biostatistics and Medical Informatics, University of WisconsinEmail verificata su biostat.wisc.edu
Barton MillerVilas Distinguished Achievement Professor, University of Wisconsin-MadisonEmail verificata su cs.wisc.edu
Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of KarlsruheEmail verificata su cs.cmu.edu
Jie YangCarnegie Mellon UniversityEmail verificata su cs.cmu.edu
Aarti SinghAssociate Professor of Machine Learning Department, Carnegie Mellon UniversityEmail verificata su cmu.edu
Jurgen Van GaelFacebookEmail verificata su fb.com

Xiaojin Zhu

Professor in Computer Science at University of Wisconsin-Madison

Email verificata su cs.wisc.edu - Home page

Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Semi-supervised learning literature survey XJ Zhu University of Wisconsin-Madison Department of Computer Sciences, 2005	4371	2005
Semi-supervised learning using gaussian fields and harmonic functions X Zhu, Z Ghahramani, JD Lafferty Proceedings of the 20th International conference on Machine learning (ICML …, 2003	4191	2003
Introduction to semi-supervised learning X Zhu, AB Goldberg Synthesis lectures on artificial intelligence and machine learning 3 (1), 1-130, 2009	1966	2009
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн	1432	2002
Semi-supervised learning with graphs X Zhu, J Lafferty, R Rosenfeld Carnegie Mellon University, language technologies institute, school of …, 2005	750	2005
Combining Active Learning and Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions X Zhu, J Lafferty, Z Ghahramani ICML 2003 workshop on The Continuum from Labeled to Unlabeled Data in …, 2003	585	2003
Incorporating domain knowledge into topic modeling via Dirichlet forest priors D Andrzejewski, X Zhu, M Craven Proceedings of the 26th annual international conference on machine learning …, 2009	474	2009
Seeing stars when there aren’t many stars: Graph-based semi-supervised learning for sentiment categorization AB Goldberg, X Zhu Proceedings of TextGraphs: The first workshop on graph based methods for …, 2006	409	2006
Learning from bullying traces in social media JM Xu, KS Jun, X Zhu, A Bellmore Proceedings of the 2012 conference of the North American chapter of the …, 2012	322	2012
A topic model for word sense disambiguation J Boyd-Graber, D Blei, X Zhu Proceedings of the 2007 joint conference on empirical methods in natural …, 2007	301	2007
Improving diversity in ranking using absorbing random walks X Zhu, AB Goldberg, J Van Gael, D Andrzejewski Human Language Technologies 2007: The Conference of the North American …, 2007	289	2007
Using machine teaching to identify optimal training-set attacks on machine learners S Mei, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	252	2015
Unlabeled data: Now it helps, now it doesn't A Singh, R Nowak, J Zhu Advances in neural information processing systems 21, 1513-1520, 2008	240	2008
Segmenting hands of arbitrary color X Zhu, J Yang, A Waibel Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000	237	2000
Transduction with matrix completion: Three birds with one stone A Goldberg, B Recht, J Xu, R Nowak, J Zhu Advances in neural information processing systems 23, 757-765, 2010	223	2010
Nonparametric transforms of graph kernels for semi-supervised learning X Zhu, J Kandola, Z Ghahramani, JD Lafferty Carnegie Mellon University, 2005	221	2005
Corleone: Hands-off crowdsourcing for entity matching C Gokhale, S Das, AH Doan, JF Naughton, N Rampalli, J Shavlik, X Zhu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	218	2014
Semi-supervised learning X Zhou, M Belkin Academic Press Library in Signal Processing 1, 1239-1269, 2014	216	2014
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning X Zhu, J Lafferty Proceedings of the 22nd international conference on Machine learning, 1052-1059, 2005	207	2005
Kernel conditional random fields: representation and clique selection J Lafferty, X Zhu, Y Liu Proceedings of the twenty-first international conference on Machine learning, 64, 2004	203	2004

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