Predictions with Confidence in Applications
MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION(2009)
摘要
Many applications require predictions with confidence. We are interested in Confidence Machines which are algorithms that
can provide some measure on how confident they are that their output is correct. Confidence Machines are quite general and
there are many algorithms solving the problem of prediction with confidence. As predictors we consider Venn Probability Machines
and Conformal Predictors. Both of these algorithms rely on an underlying algorithm for prediction and in this paper we use
two simple algorithms, namely the Nearest Neighbours and Nearest Centroid algorithms. Our aim is to provide some guidelines
on how to choose the most suitable algorithm for a practical application where confidence is needed.
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关键词
probabilistic prediction,conformal predictors,prediction with confidence,venn probability machine,underlying algorithm,suitable algorithm,simple algorithm,nearest neighbours,practical application,machine learning,confidence machines.,venn probability machines,confidence machines,nearest centroid algorithm
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