Learning mixtures of localized rules by maximizing the area under the ROC curve

Sing, Tobias; Beerenwinkel, Niko; Lengauer, Thomas; Hernández-Orallo, José; Ferri, César; Lachiche, Nicolas; Falch, Peter A.

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Learning mixtures of localized rules by maximizing the area under the ROC curve

Sing, T., Beerenwinkel, N., & Lengauer, T. (2004). Learning mixtures of localized rules by maximizing the area under the ROC curve. In ROCAI-2004: 1st International Workshop on ROC Analysis in Artificial Intelligence (pp. 89-96). Valencia, Spain: University of Valencia.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2AD2-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2AD3-6

Genre: Conference Paper

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Creators:
Sing, Tobias¹, Author
Beerenwinkel, Niko¹, Author
Lengauer, Thomas¹, Author
Hernández-Orallo, José, Editor
Ferri, César, Editor
Lachiche, Nicolas, Editor
Falch, Peter A., Editor

Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046

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Language(s): eng - English

Dates: Modified: 2005-03-21Date issued: 2004

Publication Status: Issued

Pages: -

Publishing info: Valencia, Spain : University of Valencia

Table of Contents: -

Rev. Type: -

Identifiers: eDoc: 231945
Other: Local-ID: C125673F004B2D7B-0CACCD1AEDCF0E0AC1256F8F006D8ABB-Sing2004b

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Title: Untitled Event

Place of Event: Valencia, Spain

Start-/End Date: 2004-08-22

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Title: ROCAI-2004: 1st International Workshop on ROC Analysis in Artificial Intelligence

Source Genre: Proceedings

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Publ. Info: Valencia, Spain : University of Valencia

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 89 - 96 Identifier: -