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Hierarchical Bayes model / Regularization / Linear classifier / Cross-validation / Hierarchy / Statistics / Statistical classification / Support vector machine


Recursive Regularization for Large-scale Classification with Hierarchical and Graphical Dependencies∗ Siddharth Gopal Yiming Yang
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Document Date: 2013-09-29 12:55:31


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Kernel / Chicago / /

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Neural Information Processing Systems / A. Genkin D.D. / Yahoo! / Reuters / Intel / /

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United States / /

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real life web-scale data / acceptable solution / online evaluation system / web content / web-page categorization / optimization algorithms / Web Page categorization / optimization algorithm / web-page collections / closed form solution / /

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Pegasos / /

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Betty Moore Foundation / National Science Foundation / United Nations / Carnegie Mellon University / /

Person

Guy Blelloch / Z. Chen / F. Li / D. Madigan / Siddharth Gopal / W.Y. Ma / Yiming Yang / R.E. Schapire / J.P. Callan / H. Wan / Alexandru Niculescu-Mizil / T.Y. Liu / T.G. Rose / H.J. Zeng / B. Kisiel / D.D. Lewis / Y. Yang / R. Papka / J. Zhang / Bing Bai / Siddharth Gopal Yiming Yang Carnegie / /

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author / Pt Rt / tackle / Rt / General / 2Pt Rt / Singer / and N. Srebro / /

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Hadoop / /

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Illinois / /

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Machine Learning / The Journal of Machine Learning Research / /

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RAM / Training algorithms / X-ray / optimization algorithms / ∈E The optimization algorithms / Dom / Machine Learning / 3.1 OPTIMIZATION ALGORITHM / optimization algorithm / /

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