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Mathematics / Random variable / Stochastic process / Independence / Parameter / Model theory / Probability theory / Statistics / Probability and statistics


B LOG: Probabilistic Models with Unknown Objects∗ Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong and Andrey Kolobov Computer Science Division University of California Berkeley, CA[removed]
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Document Date: 2005-07-11 15:52:18

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File Size: 147,96 KB

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City

San Francisco / Cambridge / /

Company

Ball / Vf / MIT Press / Military Electronics / Goldman / Microsoft / /

Currency

USD / /

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Facility

Andrey Kolobov Computer Science Division University of California Berkeley / /

IndustryTerm

straightforward recursive algorithm / likelihood weighting algorithm / natural solution / plan recognition networks / inference algorithm / rejection sampling algorithm / inference algorithms / important applications / guided likelihood weighting algorithm / naive algorithm / multi-target tracking systems / recursive applications / learning algorithms / /

Movie

Possible Worlds 3 / /

Organization

School of Information and Computer Science / University of California / National Science Foundation / MIT / George Mason Univ. / U.S. Securities and Exchange Commission / Andrey Kolobov Computer Science Division University / /

Person

Daniel L. Ong / Stuart Russell / Andrey Kolobov / David Sontag / Brian Milch / George Mason Univ / Morgan Kaufmann / /

Position

Author / Statistician / model / taking finite time per sampling step / researcher / #Researcher / LOG model / variables often have infinite parent sets / /

ProgrammingLanguage

Java / /

ProvinceOrState

Massachusetts / /

Technology

sampling algorithm / inference algorithms / artificial intelligence / LOG inference algorithm / Java / guided likelihood weighting algorithm / likelihood weighting algorithm / naive algorithm / straightforward recursive algorithm / rejection sampling algorithm / /

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