Conditional likelihood maximisation: a unifying framework for information theoretic feature selection
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This map shows the geographic impact of Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. 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 Conditional likelihood maximisation: a unifying framework for information theoretic feature selection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conditional likelihood maximisation: a unifying framework for information theoretic feature selection more than expected).
Fields of papers citing Conditional likelihood maximisation: a unifying framework for information theoretic feature selection
This network shows the impact of Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Conditional likelihood maximisation: a unifying framework for information theoretic feature selection.
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This paper is also available at doi.org/w7331415.