2011 11th IEEE International Conference on Data Mining A Generalized Fast Subset Sums Framework for Bayesian Event Detection Kan Shao Machine Learning Department Carnegie Mellon University - Shao - Document - PDFSEARCH.IO

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	2011 11th IEEE International Conference on Data Mining A Generalized Fast Subset Sums Framework for Bayesian Event Detection Kan Shao Machine Learning Department Carnegie Mellon University Add to Reading List Document Date: 2012-01-03 11:13:17 Open Document File Size: 1,73 MB Share Result on Facebook Company True value / / Currency USD / / / Facility hospital Emergency Department / / IndustryTerm efﬁciently search / search region / law enforcement / computing / efﬁcient search / search space / / MarketIndex SET 100 / / Organization Carnegie Mellon University / Artiﬁcial Intelligence / National Science Foundation / Emergency Department / / Person Cooper / J. N. Dowling / Neill / Daniel B. Neill / / Position chief / / ProvinceOrState Allegheny County / Pennsylvania / / PublishedMedium Machine Learning / / Technology Data Mining / Bayesian algorithm / Machine Learning / Bayesian Event Detection Kan Shao Machine Learning Department Carnegie Mellon University kshao@cmu.edu Yandong Liu Language Technologies / / SocialTag Statistical inference Statistical models Machine learning Bayesian network Probability distribution Frequentist inference Pattern recognition Probability Prior probability Bayesian statistics

2011 11th IEEE International Conference on Data Mining A Generalized Fast Subset Sums Framework for Bayesian Event Detection Kan Shao Machine Learning Department Carnegie Mellon UniversityAdd to Reading List