Support Vector Method for Novelty Detection

1.4k indexed citations

Abstract

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About

This paper, published in 1999, received 1.4k indexed citations. Written by Bernhard Schölkopf, Robert C. Williamson, Alex Smola, John Shawe‐Taylor and John Platt covering the research area of Control and Systems Engineering and Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (984 citations), Computer Networks and Communications (379 citations) and Control and Systems Engineering (256 citations). Published in UCL Discovery (University College London).

In The Last Decade

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Countries where authors are citing Support Vector Method for Novelty Detection

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This map shows the geographic impact of Support Vector Method for Novelty Detection. 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 Support Vector Method for Novelty Detection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Support Vector Method for Novelty Detection more than expected).

Fields of papers citing Support Vector Method for Novelty Detection

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Support Vector Method for Novelty Detection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Support Vector Method for Novelty Detection.

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This paper is also available at doi.org/w8265953.

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