MATCHING WITH PHANTOMS

In the case where all firms have CRS technologies with directional input complementarity and employ the same technique, the aggregation bias is null, that is, the mean of the

Once an approximate scale has been selected using this strategy, a robust estimator takes as input the potential one-to-one point assignments, com- putes the best transformation

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Artificial Intelligence in Legal Assistance task (AILA) task is about using the artificial intelligence to identify the suitable prior documents or statute for the given query

For example, given that the gold standard is partial with complete target and complete source (case ii), and given the correspondence < a, b, =, 1.0 >, the correspondence <

To prove the ExpTime upper bound we bring together the classic matching algorithm of [9] and a characterization of subsumption in the presence of general TBoxes that uses

general TBoxes is NP-complete by introducing a goal-oriented matching algorithm that uses non-deterministic rules to transform a given matching problem into a solved form by

For that we propose to use appropriate timed variants of regular expressions and temporal logics as pattern specification languages and we develop pattern matching techniques for