Adam Berger
About
Adam Berger has authored 11 papers that have received a total of 2.0k indexed citations.
This includes 10 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 1 paper in Molecular Biology. The topics of these papers are Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Bayesian Methods and Mixture Models (3 papers). Adam Berger is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Bayesian Methods and Mixture Models (3 papers) and collaborates with scholars based in United States. Adam Berger's co-authors include John Lafferty, Doug Beeferman, Harry Printz, Vincent J. Della Pietra and Stephen A. Della Pietra and has published in prestigious journals such as Machine Learning, Computational Linguistics and ACM SIGIR Forum.
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