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Computational statistics / Multi-label classification / Latent Dirichlet allocation / Automatic summarization / Document classification / Support vector machine / Discriminative model / Naive Bayes classifier / Statistical classification / Machine learning / Statistics / Artificial intelligence


Mach Learn DOIs10994Statistical topic models for multi-label document classification Timothy N. Rubin · America Chambers ·
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Document Date: 2012-01-01 14:24:17

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File Size: 2,51 MB

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City

Irvine / /

Company

the New York Times / Yahoo! / Mach Learn LDA / unsupervised LDA / /

Currency

EUR / /

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Facility

University of California / /

IndustryTerm

power-law-like relationship / power-law-like frequency statistics / power-law and non power-law plots / large-scale applications / discriminative algorithm / non-power-law / power-law statistics / learning algorithm / power-law frequency statistics / /

Organization

P. Smyth Department of Computer Science / M. Steyvers Department of Cognitive Sciences / University of California / Irvine / /

Person

Grigorios Tsoumakas / Timothy N. Rubin / Min-Ling Zhang / Mark Steyvers / Zhi-Hua Zhou / /

Position

Author / model for c1 / /

ProvinceOrState

California / /

PublishedMedium

the New York Times / New York Times / /

Technology

Machine learning / discriminative algorithm / /

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