Research Projects - 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 General Framework for Workload Evaluation
Kristal Sauer, Charles Reiss, Alexandra Constantin, Archana Sulochana Ganapathi, Armando Fox, David A. Patterson and Michael Jordan - 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 - DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien, Fei Sha and Michael Jordan - 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 - Mining Console Logs for Large-Scale Systems Runtime Problem Detection
Wei Xu, Armando Fox, David A. Patterson and Michael Jordan - Modeling events in continuous time.
Aleksandr Simma 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 - Statistical Analysis of Estimators in Machine Learning
Percy Shuo Liang and Michael Jordan
Research Centers
- Center for Intelligent Systems (CIS)
- Reliable, Adaptive and Distributed systems Laboratory (RAD Lab)
Send requests for updates to researchupdates@eecs, or Login to make changes yourself.
