Variational Inference for Bayesian Mixtures of Factor Analysers. - Zoubin Ghahramani; Matthew J. Beal (NIPS, 1999)

Propagation Algorithms for Variational Bayesian Learning. - Zoubin Ghahramani; Matthew J. Beal (NIPS, 2000)

The Infinite Hidden Markov Model. - Matthew J. Beal; Zoubin Ghahramani; Carl Edward Rasmussen (NIPS, 2001)

Audio-Video Sensor Fusion with Probabilistic Graphical Models. - Matthew J. Beal; Hagai Attias; Nebojsa Jojic (ECCV (1), 2002)

A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. - Matthew J. Beal; Nebojsa Jojic; Hagai Attias (ICASSP, 2002)

Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. - Radford M. Neal; Matthew J. Beal; Sam T. Roweis (NIPS, 2003)

A Graphical Model for Audiovisual Object Tracking. - Matthew J. Beal; Nebojsa Jojic; Hagai Attias (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Variational algorithms for approximate Bayesian inference. - Matthew J. Beal (2003)

Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. - Yee Whye Teh; Michael I. Jordan; Matthew J. Beal; David M. Blei (NIPS, 2004)

A Statistical Model For Writer Verification. - Sargur N. Srihari; Matthew J. Beal; Karthik Bandi; Vivek Shah 002 (ICDAR, 2005)

A Bayesian approach to reconstructing genetic regulatory networks with hidden factors. - Matthew J. Beal; Francesco Falciani; Zoubin Ghahramani; Claudia Rangel; David L. Wild (Bioinform., 2005)

Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier. - Cassandre Creswell; Matthew J. Beal; John Chen; Thomas L. Cornell; Lars Nilsson; Rohini K. Srihari (ACL, 2006)

Competitive Mixtures of Simple Neurons. - Karthik Sridharan; Matthew J. Beal; Venu Govindaraju (ICPR (2), 2006)

Machine Learning for Signature Verification. - Harish Srinivasan; Sargur N. Srihari; Matthew J. Beal (ICVGIP, 2006)

On profiling mobility and predicting locations of wireless users. - Joy Ghosh; Matthew J. Beal; Hung Q. Ngo 001; Chunming Qiao (REALMAN@MobiHoc, 2006)

Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models. - Matthew J. Beal; Praveen Krishnamurthy (UAI, 2006)

Segmentation and labeling of documents using conditional random fields. - Shravya Shetty; Harish Srinivasan; Matthew J. Beal; Sargur N. Srihari (DRR, 2007)

Machine Learning for Signature Verification. - Sargur N. Srihari; Harish Srinivasan; Siyuan Chen; Matthew J. Beal (Machine Learning in Document Analysis and Recognition, 2008)

Inferring Transcriptional Networks Using Prior Biological Knowledge and Constrained State-Space Models. - John Angus; Matthew J. Beal; Juan Li; Claudia Rangel; David L. Wild (Learning and Inference in Computational Systems Biology, 2010)