Uncertainty quantification and uncertainty propagation under traditional and ai-based data processing (and related topics): legacy of grigory tseytin
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783032164933
Date de publication :
17 juil. 2026
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
We need to revisit traditional methods for quantifying and propagating uncertainty, to see how they can help with these new challenges.The book covers uncertainty of measurement results and uncertainty inherent in natural-languages text -- by using both linguistic and traditional AI techniques (e.g., fuzzy).