Technical Reports - Michael Jordan

In-Network PCA and Anomaly Detection (EECS-2007-10)
Ling Huang, Xuanlong Nguyen, Minos Garofalakis, Michael Jordan, Anthony D. Joseph and Nina Taft

Distributed PCA and Network Anomaly Detection (EECS-2006-99)
Ling Huang, Xuanlong Nguyen, Minos Garofalakis, Michael Jordan, Anthony D. Joseph and Nina Taft

A Direct Formulation for Sparse PCA Using Semidefinite Programming (CSD-04-1330)
Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan and Gert R. G. Lanckriet

A Kernel-based Learning Approach to Ad Hoc Sensor Network Localization (CSD-04-1319)
XuanLong Nguyen, Michael I. Jordan and Bruno Sinopoli

Fast Kernel Learning using Sequential Minimal Optimization (CSD-04-1307)
Francis R. Bach, Gert R. G. Lanckriet and Michael I. Jordan

Kalman Filtering with Intermittent Observations (M03/15)
B. Sinopoli, L. Schenato, M. Franceschetti, Kameshwar Poolla, Michael Jordan and S. Shankar Sastry

Bayesian Haplotype Inference via the Dirichlet Process (CSD-03-1275)
Eric P. Xing, Roded Sharan and Michael I. Jordan

A Framework for Genomic Data Fusion and its Application to Membrane Protein Prediction (CSD-03-1273)
Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan and William Stafford Noble

On Semidefinite Relaxation for Normalized k-cut and Connections to Spectral Clustering (CSD-03-1265)
Eric P. Xing and Michael I. Jordan

Graph Partition Strategies for Generalized Mean Field Inference (CSD-03-1274)
Eric P. Xing and Michael I. Jordan

Learning Spectral Clustering (CSD-03-1249)
Francis R. Bach and Michael I. Jordan

Semidefinite Relaxations for Approximate Inference on Graphs with Cycles (CSD-03-1226)
Martin J. Wainwright and Michael I. Jordan

Learning the Kernel Matrix with Semi-Definite Programming (CSD-02-1206)
Gert R. G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui and Michael I. Jordan

A Robust Minimax Approach to Classification (CSD-02-1218)
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya and Michael I. Jordan

Finding Clusters in Independent Component Analysis (CSD-02-1209)
Francis R. Bach and Michael I. Jordan

Kernel Independent Component Analysis (CSD-01-1166)
Francis R. Bach and Michael I. Jordan

An Introduction to Variational Methods for Graphical Models (CSD-98-980)
Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola and Lawrence K. Saul