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Multiclass classification / Margin classifier / Classifier / Binary tree / Perceptron / Support vector machine / Statistics / Statistical classification / Machine learning


Multiclass Classification with Filter Trees Alina Beygelzimer IBM Research, Hawthorne, NY John Langford
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Document Date: 2007-05-08 08:18:33


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City

New York / /

Company

IBM / Neural Information Processing Systems / Yahoo! / /

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Event

Force Majeure / /

Facility

Computer Science Carnegie Mellon University / University of California / /

IndustryTerm

plausible algorithms / filter tree algorithm / meta-algorithms / filter tree training algorithm / good binary learning algorithms / filter tree testing algorithm / tree algorithm / /

Organization

School of Computer Science Carnegie Mellon University Pittsburgh / University of California / Irvine / /

Person

Thomas G. Dietterich / John Shawe-Taylor / Robert Schapire / Naoki Abe / Tom Hayes / John Fox / John Platt / Ian H. Witten / Bianca Zadrozny / Trevor Hastie / Varsha Dani / John Langford / Robert Tibshirani / Alina Beygelzimer / Nello Christianini / Eun Bae Kong / Thomas Dietterich / Erin Allwein / Yoram Singer / Ghulum Bakiri / Eibe Frank / /

ProgrammingLanguage

Java / /

ProvinceOrState

California / New York / /

PublishedMedium

Journal of Artificial Intelligence Research / /

Technology

speech recognition / testing algorithm / Java / filter tree algorithm / 2 The filter tree testing algorithm / 3 The Filter Tree Algorithm The filter tree algorithm / Data Mining / machine learning / good binary learning algorithms / All-pairs algorithm / tree algorithm / 1 The filter tree training algorithm / /

URL

http /

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