Xiaojin Zhu - Citazioni di Google Scholar

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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 Chief Scientist, UberEmail 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
Amy BellmoreProfessor of Human Development, University of Wisconsin-MadisonEmail verificata su wisc.edu
Paul BarfordProfessor of Computer Science, University of Wisconsin - MadisonEmail verificata su cs.wisc.edu
charles kalishProfessor of Educational Psychology, university of Wisconsin MadisonEmail verificata su wisc.edu
Mark CravenProfessor of Biostatistics and Medical Informatics, University of WisconsinEmail verificata su biostat.wisc.edu
Charles R. DyerProfessor of Computer Science, 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
Barton MillerProfessor of Computer Science, University of Wisconsin-MadisonEmail verificata su cs.wisc.edu
Scott AlfeldAmherst CollegeEmail verificata su amherst.edu
Jurgen Van GaelFacebookEmail verificata su fb.com
Jie YangCarnegie Mellon UniversityEmail verificata su cs.cmu.edu
Ralph GrossPostdoctoral Fellow, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyEmail verificata su eecs.berkeley.edu

Xiaojin Zhu

Professor in Computer Science at University of Wisconsin-Madison

Email verificata su cs.wisc.edu - Home page

Machine Learning


Titolo	Citata da	Anno
Semi-supervised learning literature survey XJ Zhu University of Wisconsin-Madison Department of Computer Sciences, 2005	3568	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	3442	2003
Introduction to semi-supervised learning X Zhu, AB Goldberg Synthesis lectures on artificial intelligence and machine learning 3 (1), 1-130, 2009	1359	2009
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн	1122	2002
Semi-supervised learning with graphs X Zhu, J Lafferty, R Rosenfeld Carnegie Mellon University, language technologies institute, school of …, 2005	627	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	491	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	380	2009
Seeing stars when there aren't many stars: graph-based semi-supervised learning for sentiment categorization AB Goldberg, X Zhu Proceedings of the first workshop on graph based methods for natural …, 2006	357	2006
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	254	2007
Improving diversity in ranking using absorbing random walks X Zhu, A Goldberg, J Van Gael, D Andrzejewski Human Language Technologies 2007: The Conference of the North American …, 2007	245	2007
Segmenting hands of arbitrary color XZJYA Waibel IEEE the Fourth IEEE International Conference on Automatic Face and Gesture …, 2000	215	2000
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	194	2004
Unlabeled data: Now it helps, now it doesn't A Singh, R Nowak, J Zhu Advances in neural information processing systems, 1513-1520, 2009	193	2009
Nonparametric transforms of graph kernels for semi-supervised learning J Zhu, J Kandola, Z Ghahramani, JD Lafferty Advances in neural information processing systems, 1641-1648, 2005	193	2005
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, 757-765, 2010	189	2010
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	188	2012
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	185	2005
Semi-supervised learning X Zhu Encyclopedia of Machine Learning and Data Mining, 1142-1147, 2017	168	2017
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	165	2014
Improving trigram language modeling with the world wide web X Zhu, R Rosenfeld 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001	156	2001

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