2008 Research Summary - Michael Jordan
Large Projects
- Bioinformatics
Michael Jordan - Directing a Datacenter
Peter Bodik, Charles Sutton, Armando Fox, David A. Patterson and Michael Jordan - Effective Bayesian Transfer Learning (EBTL)
Stuart J. Russell, Peter Bartlett and Michael Jordan - Statistical Machine Learning
Michael Jordan, Lior Pachter, Peter Bartlett and Martin Wainwright
Small Projects
- A Permutation-Augmented Sampler for Dirichlet Process Mixture Models
Percy Shuo Liang, Michael Jordan and Ben Taskar - Agreement-based Learning
Percy Shuo Liang, Daniel Klein and Michael Jordan - Classification of Images with Hierarchical Beta Processes
Romain Jean Thibaux, Michael Jordan and Erik Sudderth - Grammar Learning Using Bayesian Nonparametrics
Percy Shuo Liang, Slav Orlinov Petrov, Michael Jordan and Daniel Klein - In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis, Nina Taft, Anthony D. Joseph and Michael Jordan - Nonparametric Bayesian Methods for Machine Learning
Romain Jean Thibaux and Michael Jordan - Sparse Principal Component Analysis (SPCA)
Laurent El Ghaoui and Michael Jordan