Jyotismita Chaki 
Handling Uncertainty in Artificial Intelligence [PDF ebook] 

Apoio

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 w...

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€53.49
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Tabela de Conteúdo

Introduction to handling uncertainty in artificial intelligence.- Probability and Bayesian Theory to Handle Uncertainty in artificial intelligence.- The Dempste...

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Sobre o autor

JYOTISMITA CHAKI, Ph D. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. Her research intere...

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Língua Inglês ● Formato PDF ● Páginas 101 ● ISBN 9789819953332 ● Tamanho do arquivo 2.6 MB ● Idade 02-99 anos ● Editora Springer Nature Singapore ● Cidade Singapore ● País SG ● Publicado 2023 ● Carregável 24 meses ● Moeda EUR ● ID 9115260 ● Proteção contra cópia DRM social

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