ROCAI 2004 - PDF Preprint Papers

ROCAI 2004 ROC Analysis in Artificial Intelligence

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ROCAI
2004
Springer

94views Artificial Intelligence» more ROCAI 2004»

Optimizing Area Under Roc Curve with SVMs

1 years 10 months ago

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For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...

Alain Rakotomamonjy

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Id	Views	Title	Status
1	94	Optimizing Area Under Roc Curve with SVMs	claim
2	89	An Empirical Evaluation of Supervised Learning for ROC Area	claim
3	87	Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve	claim
4	86	Cautious Classifiers	claim
5	78	Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria	claim
6	73	Learning Interestingness Measures in Terminology Extraction. A ROC-based approach	claim
7	72	What ROC Curves Can't Do (and Cost Curves Can)	claim
8	69	ROC Optimisation of Safety Related Systems	claim
9	63	ROC Analysis of Example Weighting in Subgroup Discovery	claim

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