Wepresentaset-theoreticmodelofthementalrepresentationofclassicallyquantifiedsentences(AllP are Q, Some P are Q, Some P are not Q,and No P are Q). We take inclusion, exclusion, and...
Guy Politzer, Jean-Baptiste Van der Henst, Claire ...
— In this paper, we present an approach for potential negative obstacle detection based on missing data interpretation that extends traditional techniques driven by data only whi...
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
The use of positive and negative reasons in inference and decision aiding is a recurrent issue of investigation as far as the type of formal language to use within a DSS is concer...
We interpret non-negative matrix factorization geometrically, as the problem of finding a simplicial cone which contains a cloud of data points and which is contained in the posi...