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SUMMARY:Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty 
 - Professor Stuart Russell (UC Berkeley)
DTSTART:20140603T100000Z
DTEND:20140603T110000Z
UID:TALK52838@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:Verification for the Comprehensive Nuclear-Test-Ban Treaty req
 uires detecting and characterizing all seismic events above a minimum magn
 itude occurring anywhere on Earth. The treaty defines a network of sensors
 \, the International Monitoring System (IMS)\, managed by the United Natio
 ns CTBTO. NET-VISA\, a Bayesian monitoring system applied to IMS data\, ex
 hibits a 2x-3x reduction in detection failures compared to the current CTB
 TO system\; the UN has recommended its deployment for treaty verification\
 , subject to approval by member states. \n\nNET-VISA’s prior is a comple
 x\, open-universe generative probability model (written originally in the 
 Bayesian Logic formal language and trained on historical data) describing 
 event occurrence\, signal propagation\, signal detection\, and noise proce
 sses\; the evidence consists of “blips” (above-threshold signals\, 90%
  of which are noise) extracted from raw IMS waveform data. More recent wor
 k extends the generative model all the way to the raw waveforms\, promisin
 g greater sensitivity but requiring new modeling and inference techniques.
 \n\nJoint work with Nimar Arora\, Erik Sudderth\, and David Moore
LOCATION:Engineering Department\, CBL Room BE-438.
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