Xiaojin zhu phd thesis

Methods for machine learning by kevin jamieson a dissertation submitted in partial fulfillment of the requirements for the degree of doctor of philosophy ( electrical and xiaojin (jerry) zhu, computer sciences, uw - madison this thesis focuses on scenarios where the answers to queries are provided by a human. Maria-florina balcan, avrim blum, pakyan choi, john lafferty, brian pantano, mugizi robert rwebangira and xiaojin zhu icml2005 workshop on learning with partially classified training data, 2005 the freefoodcam dataset semi- supervised learning with graphs xiaojin zhu doctoral thesis cmu-lti-05-192, may. Computer science, phd candidate 2013 - ongoing duke university durham my primary (thesis) work is in the area of robotic object perception i developed an object representation worked with dr charles dyer and dr xiaojin zhu as part of a team researching new machine learning and data mining techniques. Feedback -proposed, implemented, and conducted experiments on new models and techniques education university of wisconsin-madison -phd, computer sciences 2010 research focus: machine learning advisors: mark craven and xiaojin zhu thesis: incorporating domain knowledge in latent topic models -ms,. Slam, 2011 http://youtube-globalblogspotcom/2011/12/introducing-youtube- slamhtml [15]: youtube youtube press statistics, 2015 https://wwwyoutube com/yt/press/statisticshtml [16]: xiaojin zhu semi-supervised learning with graphs phd thesis, carnegie mellon university, language technologies institute, school of.

Phd candidate in computer science, member of image and video computing group, advised by prof stan sclaroff i obtained my msthesis stochastic functional descent for learning support vector machines [pdf] kun he msc thesis, 2013 how to pronounce chinese names, courtesy of xiaojin zhu i'm lucky to have. Doctor of philosophy (computer science) at the university of wisconsin– madison 2014 date of final oral examination: 04/14/2014 the dissertation is approved by the following members of the final oral professor xiaojin zhu was the first to help me tie together the mathematical breadth of machine learning. In cvpr, pages 357-364, 2009 [68] dengsheng zhang and guojun lu review of shape representation and description techniques 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 chair-rosenfeld, ronald 80.

I received my md-phd in medicine and computer science at the university of wisconsin-madison my research interests lie at the interface of biomedical informatics and machine learning specifically, the widespread adoption of electronic health records (ehrs) in health care settings provides a rich source of medical data,. Semi-supervised learning with graphs xiaojin zhu may 2005 cmu-lti-05-192 language technologies institute school of computer science carnegie mellon university [email protected] doctoral thesis thesis committee john lafferty, co-chair ronald rosenfeld, co-chair zoubin ghahramani. View bryan r gibson's profile on linkedin, the world's largest professional community bryan r has 8 jobs listed on their profile see the complete profile on linkedin and discover bryan r's connections and jobs at similar companies.

Listing of graduate students in the woodruff school who have defended a phd thesis or presented an ms thesis between 1997 and 2005. The rest my thesis committee, dr kenneth mcmillan, prof david page, and prof xiaojin zhu, asked a lot of interesting questions during my defense and gave many useful comments, which greatly improved the presentation of the dissertation i would have given up on pursuing a phd if it were not for the encouragement. Phd, 2006 massachusetts institute of technology, cambridge, ma thesis: convex modeling with priors advisor: neil gershenfeld master of science, 2002 massachusetts thesis: spingineering: quantum control in the presence of relaxation advisor: xiaojin zhu, benjamin recht, junming sui, and robert nowak.

Machine learning, sequential decision-making in feedback loops (multi-armed bandit), online learning, cognitive modeling, active learning education university of wisconsin-madison madison, wi phd, computer sciences 2009– 2015 advisor: xiaojin (jerry) zhu dissertation: some machine learning methods from. Burr settles a dissertation submitted in partial fulfillment of the requirements for the degree of doctor of philosophy (computer sciences) at the university of this thesis would not exist without the help and guidance of many people i am happy jude shavlik, david page, and xiaojin “jerry” zhu have introduced me.

Xiaojin zhu phd thesis
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xiaojin zhu phd thesis Cessing, pages 213–216 xiaojin zhu 2005 semi-supervised learning with graphs phd thesis cmu-lti-05-192 x zhu, & lafferty, j 2005 harmonic mixtures: combining mixture models and graph-based meth- ods for inductive and scalable semi-supervised learning in icml-2005 xiaojin zhu 2008. xiaojin zhu phd thesis Cessing, pages 213–216 xiaojin zhu 2005 semi-supervised learning with graphs phd thesis cmu-lti-05-192 x zhu, & lafferty, j 2005 harmonic mixtures: combining mixture models and graph-based meth- ods for inductive and scalable semi-supervised learning in icml-2005 xiaojin zhu 2008. xiaojin zhu phd thesis Cessing, pages 213–216 xiaojin zhu 2005 semi-supervised learning with graphs phd thesis cmu-lti-05-192 x zhu, & lafferty, j 2005 harmonic mixtures: combining mixture models and graph-based meth- ods for inductive and scalable semi-supervised learning in icml-2005 xiaojin zhu 2008. xiaojin zhu phd thesis Cessing, pages 213–216 xiaojin zhu 2005 semi-supervised learning with graphs phd thesis cmu-lti-05-192 x zhu, & lafferty, j 2005 harmonic mixtures: combining mixture models and graph-based meth- ods for inductive and scalable semi-supervised learning in icml-2005 xiaojin zhu 2008. xiaojin zhu phd thesis Cessing, pages 213–216 xiaojin zhu 2005 semi-supervised learning with graphs phd thesis cmu-lti-05-192 x zhu, & lafferty, j 2005 harmonic mixtures: combining mixture models and graph-based meth- ods for inductive and scalable semi-supervised learning in icml-2005 xiaojin zhu 2008.