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Community structure / Tensor / Random graph / Markov chain / Mathematics / Probability and statistics / Statistical models / Statistics / Networks / Graph theory


Journal of Machine Learning Research[removed]2312 Submitted 7/13; Revised 11/13; Published[removed]A Tensor Approach to Learning Mixed Membership Community Models
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Document Date: 2014-11-25 10:45:19


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Irvine / /

Company

Pearson / Xing / Ge / Bernstein / Microsoft / /

Country

Netherlands / /

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Facility

Columbia University / University of California Irvine / /

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post-processing steps / biological networks / polynomial time algorithm / real-world networks / large networks / node network / statistical algorithms / social networks / random network / post-processing operation / learning algorithm / university/company networks / /

Organization

Columbia University / Department of Electrical Engineering & Computer Science / Department of Computer Science / University of California Irvine / /

Person

Nathan Srebro / Rong Ge / Daniel Hsu / /

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Editor / /

Product

Iterations Our / /

ProvinceOrState

California / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

learning algorithm / polynomial time algorithm / Machine Learning / /

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