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Theoretical computer science / Estimation theory / Expectation–maximization algorithm / Missing data / Graph / Mathematics / Statistics / Graph theory


Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference Joseph J. Pfeiffer III1 , Jennifer Neville1 , Paul N. Bennett2 1 Purdue University, 2 Microsoft Research
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Document Date: 2015-01-17 04:41:51

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File Size: 1,67 MB

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Shanghai / London / /

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IMDB DVD Music Nv / Pearson / Amazon / MIT Press / Active Exploration AE / Probabilistic Networks / Oracle / iterative AE / Inference AE / Microsoft / Facebook / /

Country

Jordan / China / /

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Event

Company Expansion / /

Facility

Purdue University / /

IndustryTerm

selection algorithm / biased sample networks / observed networks / large networks / copurchase network / observed network / biased network / real world networks / communication networks / learning algorithm / partial networks / partial network / probing securities traders’ communication networks / /

Organization

National Science Foundation / MIT / Purdue University / /

Person

Figure / Joseph J. Pfeiffer / /

Position

General / /

ProgrammingLanguage

VB / /

PublishedMedium

Machine Learning / /

Technology

generic AE algorithm / learning algorithm / AE algorithms / 0.15 0 Algorithm / Their selection algorithm / AE algorithm / R-EM algorithm / previous algorithms / Data Mining / weighted conditional log probability Algorithm / machine learning / viral marketing / /

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www.imdb.com / http /

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