Matthew J. Beal
Matthew J. Beal
Chicago Trading Company
Verified email at chicagotrading.com - Homepage
TitleCited byYear
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
37222005
Variational algorithms for approximate Bayesian inference
MJ Beal
University of London, 2003
16372003
The infinite hidden Markov model
MJ Beal, Z Ghahramani, CE Rasmussen
Advances in neural information processing systems, 577-584, 2002
6332002
Variational inference for Bayesian mixtures of factor analysers
Z Ghahramani, MJ Beal
Advances in neural information processing systems, 449-455, 2000
4662000
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors
MJ Beal, F Falciani, Z Ghahramani, C Rangel, DL Wild
Bioinformatics 21 (3), 349-356, 2004
3322004
Propagation algorithms for variational Bayesian learning
Z Ghahramani, MJ Beal
Advances in neural information processing systems, 507-513, 2001
3312001
A graphical model for audiovisual object tracking
MJ Beal, N Jojic, H Attias
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (7), 828-836, 2003
1442003
Graphical models and variational methods
Z Ghahramani, MJ Beal
Advanced mean field methods-theory and practice. MIT Press, 2000
1302000
On profiling mobility and predicting locations of wireless users
J Ghosh, MJ Beal, HQ Ngo, C Qiao
Proceedings of the 2nd international workshop on Multi-hop ad hoc networks …, 2006
92*2006
Variational Bayesian learning of directed graphical models with hidden variables
MJ Beal, Z Ghahramani
Bayesian Analysis 1 (4), 793-831, 2006
872006
Audio-video sensor fusion with probabilistic graphical models
MJ Beal, H Attias, N Jojic
European Conference on Computer Vision, 736-750, 2002
792002
A statistical model for writer verification
SN Srihari, MJ Beal, K Bandi, V Shah, P Krishnamurthy
Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005
582005
Segmentation and labeling of documents using conditional random fields
S Shetty, H Srinivasan, M Beal, S Srihari
Document Recognition and Retrieval XIV 6500, 65000U, 2007
522007
Signature verification using kolmogorov-smirnov statistic
H Srinivasan, SN Srihari, M Beal
Proc. International Graphonomics Society Conference (IGS), 152-156, 2005
442005
Inferring state sequences for non-linear systems with embedded hidden Markov models
RM Neal, MJ Beal, ST Roweis
Advances in neural information processing systems, 401-408, 2004
442004
Speaker detection and tracking using audiovisual data
MJ Beal, N Jojic, H Attias
US Patent 6,940,540, 2005
43*2005
Gene expression time course clustering with countably infinite hidden Markov models
M Beal, P Krishnamurthy
arXiv preprint arXiv:1206.6824, 2012
362012
The variational Kalman smoother
MJ Beal, Z Ghahramani
Tech. Rep. TR01-003, Gatsby Unit, 2001
342001
Automatically extracting nominal mentions of events with a bootstrapped probabilistic classifier
C Creswell, MJ Beal, J Chen, TL Cornell, L Nilsson, RK Srihari
Proceedings of the COLING/ACL on Main conference poster sessions, 168-175, 2006
162006
Variational Bayesian learning of directed graphical models with hidden variables
MJ Beal, Z Ghahramani
Bayesian Analysis 1 (1), 1-44, 2004
132004
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