Kevin Robert Canini

13 papers and 259 indexed citations i.

Kevin Robert Canini has authored 13 papers that have received a total of 259 indexed citations. This includes 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Cultural Studies. The topics of these papers are Bayesian Methods and Mixture Models (4 papers), Language and cultural evolution (3 papers) and Child and Animal Learning Development (3 papers). Kevin Robert Canini is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Language and cultural evolution (3 papers) and Child and Animal Learning Development (3 papers) and collaborates with scholars based in United States, Canada and Belgium. Kevin Robert Canini's co-authors include Thomas L. Griffiths, Maya R. Gupta, Andrew Cotter, Wolf Vanpaemel and Michael L. Kalish and has published in prestigious journals such as Psychonomic Bulletin & Review, Journal of Machine Learning Research and Cognitive Science.