papers
Folder for published papers
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Rae02.pdf
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Rae03.pdf
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Large Scale Learning with String Kernels
- By Sören Sonnenburg, Gunnar Rätsch and Konrad Rieck
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totalboost_icml06.pdf
- Final version of ICML'06 paper "Totally Corrective Boosting Algorithms that Maximize the Margin".
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Graph Based Semi-Supervised Learning with Sharper Edges
- "Graph Based Semi-Supervised Learning with Sharper Edges" by Hyunjung (Helen) Shin, N. Jeremy Hill, and Gunnar Rätsch published in the Proceedings of ECML 2006.
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lsmklpaper.pdf
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WarGloRae08.pdf
- Warmuth, MK, Glocer, K, and Rätsch, G (2008). Boosting Algorithms for Maximizing the Soft Margin. NIPS 2008.
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BTN170_poim_final.pdf
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Rae01.pdf
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Rae98.pdf
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Supplement-mGene.pdf
