Peter Cheeseman

25 papers and 3.0k indexed citations i.

Peter Cheeseman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Peter Cheeseman has authored 25 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Computer Networks and Communications. Recurrent topics in Peter Cheeseman’s work include Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Algorithms (3 papers) and Distributed Constraint Optimization Problems and Algorithms (3 papers). Peter Cheeseman is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Algorithms (3 papers) and Distributed Constraint Optimization Problems and Algorithms (3 papers). Peter Cheeseman collaborates with scholars based in United States. Peter Cheeseman's co-authors include Randall C. Smith, John Stutz, Matthew W. Self, William B. Gevarter, Bob Kanefsky, William M. Taylor, Robert Smith, Randall K. Smith, Jeremy Frank and J. H. Goebel and has published in prestigious journals such as The Astrophysical Journal, Technometrics and IEEE Transactions on Geoscience and Remote Sensing.