The problem of estimating the class distribution (or prevalence) for a new unlabelled dataset (from a possibly different distribution) is a very common problem which has been addressed in one way or another in the past ...
Bella Sanjuán, Antonio; Ferri Ramírez, César; José Hernández-Orallo; Ramírez Quintana, María José(Springer Verlag (Germany), 2012-06)
A general approach to classifier combination considers each model as a probabilistic classifier which outputs a class membership posterior probability. In this general scenario, it is not only the quality and diversity of ...
Data mining is usually concerned on the construction of accurate models from data, which are usually applied to well-defined problems that can be clearly isolated and formulated independently from other problems. Although ...