Ridge Regression Learning Algorithm in Dual Variables
- Journal
- ePrints Soton (University of Southampton)
In The Last Decade
doi.org/w5725899 →Countries where authors are citing Ridge Regression Learning Algorithm in Dual Variables
This map shows the geographic impact of Ridge Regression Learning Algorithm in Dual Variables. 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 Ridge Regression Learning Algorithm in Dual Variables with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ridge Regression Learning Algorithm in Dual Variables more than expected).
Fields of papers citing Ridge Regression Learning Algorithm in Dual Variables
This network shows the impact of Ridge Regression Learning Algorithm in Dual Variables. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Ridge Regression Learning Algorithm in Dual Variables.
About Ridge Regression Learning Algorithm in Dual Variables
This paper, published in 1998, received 542 indexed citations . Written by Craig Saunders, Alex Gammerman and Vladimir Vovk covering the research area of Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (299 citations), Computer Vision and Pattern Recognition (207 citations) and Computational Mechanics (89 citations). Published in ePrints Soton (University of Southampton).
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This paper is also available at doi.org/w5725899.