Michael I. Jordan
Michael I. Jordan
Professor of EECS and Professor of Statistics, University of California, Berkeley
Verified email at cs.berkeley.edu - Homepage
TitleCited byYear
Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
Journal of machine Learning research 3 (Jan), 993-1022, 2003
On spectral clustering: Analysis and an algorithm
AY Ng, MI Jordan, Y Weiss
Advances in neural information processing systems, 849-856, 2002
Adaptive mixtures of local experts.
RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton
Neural computation 3 (1), 79-87, 1991
Sharing clusters among related groups: Hierarchical Dirichlet processes
YW Teh, MI Jordan, MJ Beal, DM Blei
Advances in neural information processing systems, 1385-1392, 2005
Graphical models, exponential families, and variational inference
MJ Wainwright, MI Jordan
Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008
Hierarchical mixtures of experts and the EM algorithm
MI Jordan, RA Jacobs
Neural computation 6 (2), 181-214, 1994
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37 (2), 183-233, 1999
Distance metric learning with application to clustering with side-information
EP Xing, MI Jordan, SJ Russell, AY Ng
Advances in neural information processing systems, 521-528, 2003
An internal model for sensorimotor integration
DM Wolpert, Z Ghahramani, MI Jordan
Science 269 (5232), 1880-1882, 1995
Learning the kernel matrix with semidefinite programming
GRG Lanckriet, N Cristianini, P Bartlett, LE Ghaoui, MI Jordan
Journal of Machine learning research 5 (Jan), 27-72, 2004
Optimal feedback control as a theory of motor coordination
E Todorov, MI Jordan
Nature neuroscience 5 (11), 1226, 2002
An introduction to MCMC for machine learning
C Andrieu, N De Freitas, A Doucet, MI Jordan
Machine learning 50 (1-2), 5-43, 2003
Kalman filtering with intermittent observations
B Sinopoli, L Schenato, M Franceschetti, K Poolla, MI Jordan, SS Sastry
IEEE transactions on Automatic Control 49 (9), 1453-1464, 2004
Learning in graphical models
MI Jordan
Springer Science & Business Media, 1998
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
A Ng, MI Jordan
Advances in Neural Information Processing Systems 14, 841, 2002
Kernel independent component analysis
FR Bach, MI Jordan
Journal of machine learning research 3 (Jul), 1-48, 2002
Matching words and pictures
K Barnard, P Duygulu, D Forsyth, N Freitas, DM Blei, MI Jordan
Journal of machine learning research 3 (Feb), 1107-1135, 2003
Active learning with statistical models
DA Cohn, Z Ghahramani, MI Jordan
Journal of artificial intelligence research 4, 129-145, 1996
Loopy belief propagation for approximate inference: An empirical study
KP Murphy, Y Weiss, MI Jordan
Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999
Forward models: Supervised learning with a distal teacher
MI Jordan, DE Rumelhart
Cognitive science 16 (3), 307-354, 1992
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