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Sum-Product Networks: A New Deep Architecture Hoifung Poon and Pedro Domingos Computer Science & Engineering University of Washington Seattle, WA 98195, USA
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Document Date: 2011-10-05 21:44:32

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File Size: 303,95 KB

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City

Generative Model / Chicago / /

Company

Sum-Product Networks / MIT Press / Case / /

Country

Jordan / /

Currency

cent / /

/

Facility

Engineering University of Washington Seattle / /

IndustryTerm

deep belief networks / distributive law / marginal inference algorithm / parallel distributed processing / log product / online learning / ¢product / neural networks / sigma-pi networks / search spaces / sumproduct network / deep networks / sumproduct networks / computing / distributive law bottom-up / convolutional networks / learning algorithms / /

Organization

National Science Foundation / MIT / Domingos Computer Science & Engineering University of Washington Seattle / United States Government / /

Person

Ruslan Salakhutdinov / Ch / Pedro Domingos / G. Sapiro / V / Parallel Distributed / Learning / Turk / Morgan Kaufmann / Washington Seattle / /

Position

editor / stochastic model for human face identification / mixture model for the same distribution / /

Product

Pentax K-x Digital Camera / mlrs / SPNs / /

ProvinceOrState

V0 / /

PublishedMedium

Journal of the ACM / Computational Linguistics / Nature Neuroscience / /

Technology

neuroscience / deep architectures Algorithm / artificial intelligence / marginal inference algorithm / ISP / Data Mining / machine learning / EM algorithm / DBMs / five algorithms / /

URL

http /

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