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SUMMARY:Reflections on Random Forests - Richard Dybowski\, Dept. Vet. Med.
DTSTART:20121022T103000Z
DTEND:20121022T113000Z
UID:TALK40777@talks.cam.ac.uk
CONTACT:Prof. Julia Gog
DESCRIPTION:A random forest (RF) is a classifier consisting of a large ens
 emble of classification trees induced from data. RF induction is one of th
 e most accurate machine-learning algorithms available. I will describe how
  RF-based classification was used for the prediction of Candida infection 
 in intensive care patients\, as well as some of the pros and cons of using
  RFs.
LOCATION:CC43\, Cripps Court\, Queens' College
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