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10

IPM
2008

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Evaluating epistemic uncertainty under incomplete assessments

13 years 4 months ago

Evaluating epistemic uncertainty under incomplete assessments

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The thesis of this study is to propose an extended methodology for laboratory based Information Retrieval evaluation under incomplete relevance assessments. This new methodology aims to identify potential uncertainty during system comparison that may result from incompleteness. The adoption of this methodology is advantageous, because the detection of epistemic uncertainty

Mark Baillie, Leif Azzopardi, Ian Ruthven

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Incomplete Relevance Assessments | Information Retrieval Evaluation | IPM 2008 | Methodology |

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Added	12 Dec 2010
Updated	12 Dec 2010
Type	Journal
Year	2008
Where	IPM
Authors	Mark Baillie, Leif Azzopardi, Ian Ruthven

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