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Model selection / Bayesian statistics / Naive Bayes classifier / Anomaly detection / Random forest / Cross-validation / Feature selection / Confusion matrix / Data mining / Statistics / Machine learning / Statistical classification


Document Date: 2014-07-03 08:16:23

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City

Monterey / Seattle / Basseville / San Diego / Bruxelles / Moissy Cramayel / /

Company

Safran Group / MIT Press / /

Country

Belgium / /

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Event

Product Issues / /

IndustryTerm

classification algorithm / possible solution / airline profit / indirect grid search procedures / sub-systems / health monitoring algorithms / data mining / classification algorithms / worlds leading manufacturers / human operator / interpretable solutions / possible solutions / exhausted gas temperature / /

NaturalFeature

Random Forests / Random Forest / /

Organization

Royal Statistical Society / MIT / Computational Intelligence / Pattern Analysis and Machine Intelligence / /

Person

Marie Cottrell Fabrice Rossi / /

Position

Author / /

Product

observations / /

ProvinceOrState

California / Washington / /

PublishedMedium

Journal of the Royal Statistical Society / Machine Learning / Journal of Machine Learning Research / The Journal of Machine Learning Research / /

Technology

health monitoring algorithms / sliding windows / classification algorithms / http / data mining / Machine Learning / classification algorithm / /

URL

www.snecma.com / /

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