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Process modeling / Knowledge / Epistemology / Philosophy of science / Statistical randomness / Stochastic / Scientific modelling


Influence Modeling of Complex Stochastic Processes by Wen Dong M.E., Computer ScienceThe University of San Francisco Submitted to the Department of Media Arts and Sciences
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Document Date: 2006-07-26 10:40:26

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File Size: 492,85 KB

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Company

Toshiba / Human Dynamics Thesis Supervisor Joe Paradiso Sony Corporation / /

Facility

Massachusetts Institute of Technology September / The University of San Francisco Submitted / /

IndustryTerm

influence algorithms / inference algorithms / wearable computing / /

Organization

Department of Media Arts / Department of Media Arts and Sciences / Massachusetts Institute of Technology / Institute of Technology All / Departmental Committee on Graduate Students / University of San Francisco / /

Person

Martin C. Martin / Paradiso / Pat Solakoff / Verghese / Wen Dong / V. Michael Bove / Jr. / Daniel Olguin / Sciences Alex / Wen Dong Submitted / Mike Sung / Linda Peterson / Nathan Eagle / Ryan Aylward / Mat Laibowitz / Alex (Sandy) Pentland / Ron Caneel / Anmol Maddan / Quinn Smithwick / Jonathan Gipps / /

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Position

Author / Co-Director / Things that Think Thesis / Director / Consumer Electronics Laboratory Thesis Reader Research Scientist / Professor / Speaker / Professor of Media Arts / Jr. Principal Research Scientist Director / Forward / Professor of Media Arts and Sciences Director / teaching assistant / /

ProvinceOrState

Massachusetts / /

Technology

30 2 Inference algorithms / inference algorithms / influence algorithms / machine learning / 2006 Massachusetts Institute of Technology / /

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