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  Multiclass Multiple Kernel Learning

Zien, A., & Ong, C. (2007). Multiclass Multiple Kernel Learning. In Z. Ghahramani (Ed.), ICML '07: 24th International Conference on Machine Learning (pp. 1191-1198). New York, NY, USA: ACM Press.

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Basisdaten

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-000A-DA17-7 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0010-65B2-3
Genre: Konferenzbeitrag

Externe Referenzen

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externe Referenz:
https://icml.cc/imls/conferences/2007/proceedings.html (Verlagsversion)
Beschreibung:
-
OA-Status:
Keine Angabe

Urheber

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 Urheber:
Zien, A1, Autor           
Ong, CS1, Autor           
Affiliations:
1Rätsch Group, Friedrich Miescher Laboratory, Max Planck Society, ou_3378052              

Inhalt

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Schlagwörter: -
 Zusammenfassung: In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kernels. By enforcing sparse coefficients, it also generalizes feature selection to kernel selection. We propose MKL for joint feature maps. This provides a convenient and principled way for MKL with multiclass problems. In addition, we can exploit the joint feature map to learn kernels on output spaces. We show the equivalence of several different primal formulations including different regularizers. We present several optimization methods, and compare a convex quadratically constrained quadratic program (QCQP) and two semi-infinite linear programs (SILPs) on toy data, showing that the SILPs are faster than the QCQP. We then demonstrate the utility of our method by applying the SILP to three real world datasets.

Details

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Sprache(n):
 Datum: 2007-06
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1145/1273496.1273646
 Art des Abschluß: -

Veranstaltung

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Titel: 24th International Conference on Machine Learning (ICML 2007)
Veranstaltungsort: Corvallis, OR, USA
Start-/Enddatum: 2007-06-20 - 2007-06-24

Entscheidung

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Projektinformation

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Quelle 1

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Titel: ICML '07: 24th International Conference on Machine Learning
Genre der Quelle: Konferenzband
 Urheber:
Ghahramani, Z, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: New York, NY, USA : ACM Press
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1191 - 1198 Identifikator: ISBN: 978-1-59593-793-3