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Statistical models / Statistical theory / Bayesian network / Probabilistic logic / Bayesian inference / Graphical model / Normal distribution / Randomized algorithm / Confidence interval / Statistics / Bayesian statistics / Statistical inference


Document Date: 2014-03-28 04:36:13

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City

Edinburgh / /

Company

Ht Hf / Semiconductor Research Corporation / STARnet / Infer.NET / Bayesian Networks / M AYHAP / Google / Qualcomm / Intel / Microsoft / /

Country

United Kingdom / /

Currency

USD / /

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Event

Reorganization / /

Facility

Kathryn S. McKinley Luis Ceze University of Washington / /

IndustryTerm

compiler infrastructure / Even accounting / unreliable hardware / approximate applications / approximate computing / heterogeneous computing / forward kinematics algorithm / on-line optimizer / Verification tools / approximate hardware / then inference algorithms / computing / probabilistic real-time systems / real-time systems / /

Organization

University of Washington / /

Person

Adrian Sampson / Washington Todd Mytkowicz / Dan Grossman / ROB C ORE / Tom Bergan / N. D. Goodman / V / Colin Gordon / James Bornholt / Pavel Panchekha / /

Position

bitcode interpreter / representative / General / head / interpreter / programmer / /

ProgrammingLanguage

E / R / C / C++ / /

ProvinceOrState

Oregon / /

Technology

corresponding forward kinematics algorithm / cellular telephone / smartphones / GPS / clustering algorithm / then inference algorithms / Randomness Randomized algorithms / machine learning / simulation / /

URL

http /

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