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Xiaojin Zhu Phd Thesis

Xiaojin Zhu Paul Bennett, David M. Chickering, Christopher Meek, and Xiaojin Zhu. Algorithms .. My Ph.D. thesis on graph-based semi-supervised learning, including label  Semi-Supervised Learning with Graphs - Computer Sciences User Xiaojin Zhu First I would like to thank my thesis committee members. .. This thesis focuses on classification, which is traditionally a supervised learn- ing task. Xiaojin Zhu: Professor in Computer Science at University of Jerry Zhu is the Sheldon & Marianne Lubar Professor in Computer Science at the University Jerry received his Ph.D. from Carnegie Mellon University in 2005. Xiaojin (Jerry) Zhu - Computer Sciences User Pages - University of 14 Mar 2017 functions” originally published in 2003 by Xiaojin Zhu, Zoubin Ghahramani and John. Lafferty .. PhD thesis, Carnegie Mellon University, 2005. Semi-Supervised Learning Using Gaussian Fields and Harmonic Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. Xiaojin Zhu. *. ZHUXJ@CS.CMU.EDU. Zoubin Ghahramani t*. ZOUBIN@GATSBY. xiaojin zhu - Carnegie Mellon School of Computer Science Ph.D., Carnegie Mellon University, 2005. Academic. Education. Language Xiaojin Zhu. - 2 - Pantano and Mugizi Robert Rwebangira and Xiaojin Zhu. Xiaojin Zhu (Jerry Zhu)'s Publications Xiaojin Zhu. Doctoral thesis. CMU-LTI-05-192, May 2005. Semi-supervised learning literature survey, an online version of Chapter 11 that will keep updating.

W15-3103 - Association for Computational Linguistics

31 Jul 2015 berg and Zhu (2006) design the GBSSL model for sentiment .. Andrew B. Goldberg and Xiaojin Zhu. 2006. Seeing PHD thesis. Univer-. Random Walk and SSL - CIS @ Temple University and Semi-Supervised Learning. Longin Jan Latecki. Based on : Xiaojin Zhu. Semi-Supervised Learning with Graphs. PhD thesis. CMU-LTI-05-192, May 2005. Data-Driven Graph Construction for Semi-Supervised Graph-Based The basic label propagation (LP) algorithm (Zhu and. Ghahramani, 2002; Zhu, 2005) has as inputs: • a labeled set {(x1 .. Xiaojin Zhu. 2005. Semi-Supervised Learning with Graphs. Ph.D. thesis, Carnegie Mellon University. CMU-LTI-05-. 192. A Simple and Efficient Method to Handle Sparse Preference Data 1 Jun 2016 PhD thesis, Carnegie Mellon University, Language Technologies Institute, School of [17]; Xiaojin Zhu, Zoubin Ghahramani, and John Lafferty. Semi-supervised learning of concatenative morphology - CIS problems, as presented by Zhu (2005). One ap- proach is to use .. Ph.D. thesis, University of. Helsinki. Mikko Kurimo Xiaojin Zhu. 2005. Semi-supervised  Re-Ranking Methods - IC-Unicamp Pattern Recognition, 37:1-19, 1 2004. [69] Xiaojin Zhu. Semi-supervised learning with graphs. PhD thesis, Pittsburgh, PA, USA, 2005. Chair-Lafuerty, John and  pdf - David M. Andrzejewski - David Andrzejewski 2008-2010 Research Assistant (Professors Mark Craven and Xiaojin Zhu),. UW–Madison Education. 2007–2010 PhD, University of Wisconsin–Madison, Madison, WI. Thesis: Incorporating Domain Knowledge in Latent Topic Models. Curious Machines: Active Learning with Structured - Burr Settles In this thesis, I explore several important questions regarding active learning I also thank the members of my PhD committee for the investments they have made in my Jude Shavlik, David Page, and Xiaojin “Jerry” Zhu have introduced me.

Saleema Amershi at Microsoft Research

In 2012 I received my PhD in Computer Science from the University of Washington's My dissertation entitled “Designing for Effective End-User Interaction with Machine Jina Suh, Xiaojin Zhu, Saleema Amershi, in Proceedings of the 33rd  Susmit Jha's Home Page Ph.D. Thesis (UC Berkeley). Towards Automated System Synthesis Using Susmit Jha, Sanjit A. Seshia and Xiaojin Jerry Zhu. On the Teaching Dimension of  UCI Machine Learning Repository: Molecular Biology (Splice 1 Jan 1992 2003. [View Context]. Xiaojin Zhu. On the Management of Distributed Learning Agents Ph.D. Thesis Proposal CUCS-032-97. Department of  One Class per Named Entity: Exploiting Unlabeled Text for Named tion. In Proceedings of the ARPA Human Language Tech- nology Workshop, 1993. [Zhu, 2005] Xiaojin Zhu. Semi-Supervised Learning with. Graphs. PhD thesis  generalized expectation criteria for lightly supervised - gregory druck Xiaojin Zhu, Member. Andrew Barto Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST. Directed by: This thesis focuses on incorporating such prior 

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