Dynamic bayesian networks: representation, inference and learning
- Authors
- Kevin P. MurphyStuart Russell
In The Last Decade
doi.org/w88006342 →Countries where authors are citing Dynamic bayesian networks: representation, inference and learning
This map shows the geographic impact of Dynamic bayesian networks: representation, inference and learning. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dynamic bayesian networks: representation, inference and learning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dynamic bayesian networks: representation, inference and learning more than expected).
Fields of papers citing Dynamic bayesian networks: representation, inference and learning
This network shows the impact of Dynamic bayesian networks: representation, inference and learning. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Dynamic bayesian networks: representation, inference and learning.
About Dynamic bayesian networks: representation, inference and learning
This paper, published in 2002, received 1.7k indexed citations . Written by Kevin P. Murphy and Stuart Russell covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (897 citations), Computer Vision and Pattern Recognition (364 citations) and Signal Processing (306 citations).
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This paper is also available at doi.org/w88006342.