출판 Human Computation Tasks with Global Constraints Haoqi Zhang, Edith Law, Robert C. Miller, Krzysztof Z. Gajos, David C. Parkes, Eric Horvitz CHI’12, May 5-10, 2012, Austin, Texas, USA. | January 2012
출판 Rich Augmented Reality Interactions Without Goggles, Gloves or 3D Trackers Hrvoje Benko January 2012 January 2012 DUB Research Talk. University of Washington
출판 Crowd IQ – Aggregating Opinions to Boost Performance Gjergji Kasneci, Michal Kosinski, Jurgen Van Gael, Yoram Bachrach, Thore Graepel AAMAS 2012 | January 2012
출판 Learning Evolving Patient Risk Processes for C. Diﬔ Colonization Jenna Wiens, John Guttag, Eric Horvitz Appearing in the ICML 2012 Workshop on Clinical Data Analysis, Edinburgh, Scotland, UK | January 2012
출판 Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012 ISBN: 978-88-207-5364-1
출판 Learning to Read Bushman: Automatic Handwriting Recognition for Bushman Languages Kyle Williams January 2012 January 2012
출판 Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning Antonio Criminisi, Jamie Shotton, Ender Konukoglu Foundations and Trends® in Computer Graphics and Vision | 글쓴이 NOW Publishers | 2012, Vol 7 프로젝트 프로젝트 프로젝트
출판 Discovering Injective Episodes with General Partial Orders Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P.S. Sastry Data Mining and Knowledge Discovery (DAMI) | January 2012, 제 25 권: pp. 67-108
출판 How To Grade a Test Without Knowing the Answers – A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing Yoram Bachrach, Tom Minka, John Guiver, Thore Graepel 29th International Conference on Machine Learning, Edinburgh, Scotland, UK | January 2012 프로젝트
출판 Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft Journal of Privacy and Confidentiality | January 2012, 제 4 권: pp. 65-100