Abstract: It sometimes happens (for instance in case control studies) that a classifier is trained on a data set that does not reflect the true a priori probabilities of the target classes on ...

Abstract: The a priori probability of a dataset is usually used as a baseline for comparing a particular algorithm’s accuracy in a given binary classification task. ZeroR is the simplest algorithm for ...

Contrary to Block, the synthetic a priori has little to do with our dispute. My critique of the Austrians is not that their methods are “unscientific,” but that their most distinctive positions are ...

In a previous study (P. B. Slater, Eur. Phys. J. B. 17, 471 (2000)), several remarkably simple exact results were found, in certain specialized m-dimensional ...

The aim of this approach is to construct the probability law of possible true values. This law of probability is fundamentally different from the law of dispersion of measurements. The law of ...

PURPOSE: CT-perfusion (CTP) is frequently used in acute stroke imaging, however, there is need for further standardization for reliable quantification of tissue at risk. Using a global threshold to ...