Matthew J. Beal

Computer Science · Physical Sciences

18h-index8.3kcitations31works0.02yr avg
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Research Topics

Bayesian Methods and Mixture Models(11), Handwritten Text Recognition Techniques(5), Bayesian Modeling and Causal Inference(5), Gene expression and cancer classification(4), Machine Learning and Algorithms(4)

Publications31 total

An Overview of Second Language Acquisition
DigitalCommons-Cedarville (Cedarville University)·2017Open Access
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models
arXiv (Cornell University)·2012· 9 citedOpen Access
Inferring Transcriptional Networks Using Prior Biological Knowledge and Constrained State-Space Models.
2010· 3 cited
Reconstructing Transcriptional Networks Using Gene Expression Profiling and Bayesian State-Space Models
Humana Press eBooks·2008· 2 cited
Machine Learning for Signature Verification
Studies in computational intelligence·2007· 12 cited
Segmentation and labeling of documents using conditional random fields
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2007· 44 cited
Variational Bayesian learning of directed graphical models with hidden variables
Bayesian Analysis·2006· 102 citedOpen Access
Hierarchical Dirichlet Processes
Journal of the American Statistical Association·2006· 3.5k cited
Gene expression time course clustering with countably infinite hidden Markov models
2006· 17 cited
On profiling mobility and predicting locations of wireless users
2006· 52 cited
Comparison of ROC-based and likelihood methods for fingerprint verification
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2006· 3 cited
Automatically extracting nominal mentions of events with a bootstrapped probabilistic classifier
2006· 16 cited
Competitive Mixtures of Simple Neurons
2006· 2 cited
Machine Learning for Signature Verification
Lecture notes in computer science·2006· 31 cited
Machine learning approaches for person identification and verification
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2005· 9 citedOpen Access
Tree of Latent Mixtures for Bayesian Modelling and Classification of High Dimensional Data
2005
On Profiling Mobility and Predicting Locations of Campus-Wide Wireless Network Users
2005· 14 cited
A statistical model for writer verification
2005· 44 cited
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
2004· 433 cited
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors
Computer applications in the biosciences·2004· 290 cited
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Frequent Co-authors

Zoubin Ghahramani(7), Sargur N. Srihari(6), Harish Srinivasan(5), Hagai Attias(4), David L. Wild(3), Nebojša Jojić(3), Yee Whye Teh(2), Michael I. Jordan(2), David M. Blei(2), Zoubin Ghahramani(2), Claudia Rangel‐Escareño(2), Joy Ghosh(2), Chunming Qiao(2), Praveen Thaggikuppe Krishnamurthy(2), Carl Edward Rasmussen(1), Francesco Falciani(1), Hung Q. Ngo(1), Safal Shetty(1), Kiran Babu Bandi(1), Vivek Shah(1)