Rina Dechter
About
Rina Dechter has authored 150 papers that have received a total of 5.1k indexed citations.
This includes 117 papers in Artificial Intelligence, 106 papers in Computer Networks and Communications and 62 papers in Signal Processing. The topics of these papers are Distributed Constraint Optimization Problems and Algorithms (96 papers), Bayesian Modeling and Causal Inference (84 papers) and Data Management and Algorithms (61 papers). Rina Dechter is often cited by papers focused on Distributed Constraint Optimization Problems and Algorithms (96 papers), Bayesian Modeling and Causal Inference (84 papers) and Data Management and Algorithms (61 papers) and collaborates with scholars based in United States, Israel and Ireland. Rina Dechter's co-authors include Kalev Kask, Judea Pearl, Robert Mateescu, Vibhav Gogate and Radu Marinescu and has published in prestigious journals such as Bioinformatics, ACM Computing Surveys and Artificial Intelligence
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