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portada Handling Uncertainty in Artificial Intelligence
Type
Physical Book
Publisher
Language
English
Pages
101
Format
Paperback
Dimensions
23.2x15.2x0.8 cm
Weight
0.20 kg.
ISBN13
9789819953325

Handling Uncertainty in Artificial Intelligence

Jyotismita Chaki (Author) · Springer · Paperback

Handling Uncertainty in Artificial Intelligence - Chaki, Jyotismita

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Synopsis "Handling Uncertainty in Artificial Intelligence"

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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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