In many machine learning applications, measurements are sometimes incomplete or noisy resulting in missing features. In other cases, and for different reasons, the datasets are originally small, and therefore, more data ...

I study incomplete preferences as a means to represent indecisiveness. A decomposition into maximal domains of comparability is characterized and used to link optimization of incomplete preferences with maximization of ...

Incomplete septal cirrhosis is a form of macronodular cirrhosis characterized by fine and incomplete septa, which delimit rudimentary regeneration nodules. Its etiopathogeny is uncertain and is associated with various ...

P>In the context of either Bayesian or classical sensitivity analyses of over-parametrized models for incomplete categorical data, it is well known that prior-dependence on posterior inferences of nonidentifiable parameters ...