Sparse greedy matrix approximation for machine learning.

Smola, AJ; Schölkopf, B

doi:10.5555/645529.657980

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Sparse greedy matrix approximation for machine learning.

Smola, A., & Schölkopf, B. (2000). Sparse greedy matrix approximation for machine learning. In P. Langley (Ed.), Seventeenth International Conference on Machine Learning (ICML 2000) (pp. 911-918). San Francisco, CA, USA: Morgan Kaufmann.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E5CD-F Version Permalink: https://hdl.handle.net/21.11116/0000-0006-D12C-D

Genre: Conference Paper

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https://dl.acm.org/doi/10.5555/645529.657980 (Publisher version) Open Access status unknown

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Creators:
Smola, AJ, Author
Schölkopf, B^{1, 2}, Author

Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497797

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Dates: Date issued: 2000-07

Publication Status: Issued

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Identifiers: BibTex Citekey: 819
DOI: 10.5555/645529.657980

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Title: Seventeenth International Conference on Machine Learning (ICML 2000)

Place of Event: Stanford, CA, USA

Start-/End Date: 2000-06-29 - 2000-07-02

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Title: Seventeenth International Conference on Machine Learning (ICML 2000)

Source Genre: Proceedings

Creator(s):
Langley, P, Editor

Affiliations:
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Publ. Info: San Francisco, CA, USA : Morgan Kaufmann

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 911 - 918 Identifier: ISBN: 978-1-55860-707-1