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Statistical model for the reproducibility in ranking based feature selection
(2017-10-25)
Recently, concerns about the reproducibility of scientific studies have been growing among the scientific community, mainly due to the existing large quantity of irreproducible results. This has reach such an extent that ...
Efficient learning of decomposable models with a bounded clique size
(2014-05-08)
The learning of probability distributions from data is a ubiquitous problem in the fields of Statistics and Artificial Intelligence. During the last decades several learning algorithms have been proposed to learn probability ...
A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation
(2009)
In the machine learning field the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error cannot be exactly calculated and it must be estimated. Therefore, it’s ...