Handling Uncertainty in Artificial Intelligence
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 62.90
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Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
06.08.2023
Verlag
Springer Nature SingaporeSeitenzahl
101 (Printausgabe)
Dateigröße
2587 KB
Sprache
Englisch
EAN
9789819953332
This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.
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