Random Forests: Finding Quasars

The automatic classification of objects from catalogues or other sources of data is a common statistical problem in many astronomical surveys. We describe an effective method, Random Forests, in which votes for class membership are polled from a large random ensemble of tree classifiers. This procedure is illustrated by the problem of identifying quasars from the FIRST survey.