Adam J. Grove

32 papers and 1.1k indexed citations i.

Adam J. Grove has authored 32 papers that have received a total of 1.1k indexed citations. This includes 27 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. The topics of these papers are Bayesian Modeling and Causal Inference (13 papers), Logic, Reasoning, and Knowledge (12 papers) and Machine Learning and Algorithms (9 papers). Adam J. Grove is often cited by papers focused on Bayesian Modeling and Causal Inference (13 papers), Logic, Reasoning, and Knowledge (12 papers) and Machine Learning and Algorithms (9 papers) and collaborates with scholars based in United States, Canada and Israel. Adam J. Grove's co-authors include Joseph Y. Halpern, Fahiem Bacchus, Russell Greiner, Daphne Koller and Dan Roth and has published in prestigious journals such as Pattern Recognition, Artificial Intelligence and Machine Learning