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Data analysis / Machine learning / Bioinformatics / Markov chain / Hidden Markov model / Parameter / Data mining / Poisson process / Expectation–maximization algorithm / Statistics / Markov models / Markov processes


Characterizing Individual Communication Patterns R. Dean Malmgren1,2 , Jake M. Hofman1 , Luís A. N. Amaral2 , and Duncan J. Watts1 Yahoo! Research 111 W 40th St, 17th Floor New York, NY 10018, USA 1
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Document Date: 2014-02-26 15:40:26


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City

Glencoe / New York / Paris / /

Company

Oxford University Press / Columbia University Press / Cambridge University Press / D. B. Stouffer A. E. / L.A.N.A. / Yahoo! / /

Country

France / United States / United Kingdom / /

Currency

USD / /

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IndustryTerm

e-mail server / social networking records / widespread home Internet access / social and technological networks / forward-backward algorithm / e-mailaholics / inference algorithm / home Internet access / inference algorithms / email server / large instant-messaging network / social networks / social network / consumer networks / On-line estimation / web-browsing / large-scale online systems / expectation-maximization algorithm / /

Organization

Royal Statistical Society / Cambridge University / Columbia University / National Science Foundation / Northwestern University / Oxford University / W. M. Keck Foundation / U.S. Securities and Exchange Commission / /

Position

ABSTRACT General / model of individual e-mail communication / /

ProvinceOrState

Illinois / New York / /

PublishedMedium

Free Press / Journal of the Royal Statistical Society / Physica A / Machine Learning / /

Technology

speech recognition / on-line HMM inference algorithms / Probabilistic algorithms / expectation-maximization algorithm / inference algorithm / developed algorithms / Machine Learning / Simulation / EM algorithm / forward-backward algorithm / calculated using the forward-backward algorithm / /

URL

http /

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