Matthew J. Beal
About
Matthew J. Beal has authored 17 papers that have received a total of 2.7k indexed citations.
This includes 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (6 papers), Handwritten Text Recognition Techniques (3 papers) and Machine Learning and Algorithms (3 papers). Matthew J. Beal is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Handwritten Text Recognition Techniques (3 papers) and Machine Learning and Algorithms (3 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Matthew J. Beal's co-authors include Sargur N. Srihari, Zoubin Ghahramani, David M. Blei, Yee Whye Teh and Michael I. Jordan and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence
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