Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction

8 Dec 2016Homayun AfrabandpeyTomi PeltolaSamuel Kaski

Regression under the "small $n$, large $p$" conditions, of small sample size $n$ and large number of features $p$ in the learning data set, is a recurring setting in which learning from data is difficult. With prior knowledge about relationships of the features, $p$ can effectively be reduced, but explicating such prior knowledge is difficult for experts... (read more)

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