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2010 NIPS NeurIPS 2010

Global seismic monitoring as probabilistic inference

Abstract

The International Monitoring System (IMS) is a global network of sensors whose purpose is to identify potential violations of the Comprehensive Nuclear-Test-Ban Treaty (CTBT), primarily through detection and localization of seismic events. We report on the first stage of a project to improve on the current automated software system with a Bayesian inference system that computes the most likely global event history given the record of local sensor data. The new system, VISA (Vertically Integrated Seismological Analysis), is based on empirically calibrated, generative models of event occurrence, signal propagation, and signal detection. VISA exhibits significantly improved precision and recall compared to the current operational system and is able to detect events that are missed even by the human analysts who post-process the IMS output.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Data Science & Analytics and Healthcare & Medicine and Machine Learning
📈 Trend Setter — Risk Management
🧭 Keyword Pioneer — seismic monitoring
🐣 Hot Topic Early Bird — generative model
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Nimar Arora , Stuart Russell , Paul Kidwell , Erik B. Sudderth

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Learning Types > Unsupervised Learning Machine Learning > Optimization & Theory > Bayesian Inference Machine Learning > Application Areas > Risk Management Healthcare & Medicine > Clinical > Medical Imaging Data Science & Analytics > Applications > Disease Surveillance Machine Learning > Bayesian & Probabilistic > Probabilistic Modeling Artificial Intelligence > Bayesian & Probabilistic > Bayesian Inference Machine Learning > Bayesian & Probabilistic > Bayesian Inference

Keywords

bayesian inference probabilistic inference sensor networks event detection seismic monitoring signal propagation generative model
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