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» Learning from a Test Set

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CI
2004

171views more CI 2004»

A Multiple Resampling Method for Learning from Imbalanced Data Sets

13 years 8 months ago

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Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz

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EMNLP
2009

157views Natural Language Processing» more EMNLP 2009»

Model Adaptation via Model Interpolation and Boosting for Web Search Ranking

13 years 6 months ago

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This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...

Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...

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ICSE
2005
IEEE-ACM

106views Software Engineering» more ICSE 2005»

Observations and lessons learned from automated testing

14 years 1 months ago

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This report addresses some of our observations made in a dozen of projects in the area of software testing, and more specifically, in automated testing. It documents, analyzes and...

Stefan Berner, Roland Weber, Rudolf K. Keller

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GECCO
2008
Springer

137views Optimization» more GECCO 2008»

Informative sampling for large unbalanced data sets

13 years 9 months ago

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Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...

Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...

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SPE
2002

102views more SPE 2002»

Lessons learned from automating tests for an operations support system

13 years 8 months ago

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