Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology) - Softcover

Chaki, Jyotismita

 
9789819953325: Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology)

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

JYOTISMITA CHAKI, PhD. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is the editor of Engineering Applications of Artificial Intelligence Journal, Elsevier, academic editor of PLOS ONE journal and associate editor of Array journal, Elsevier, IET Image Processing, Applied Computational Intelligence and Soft Computing and Machine Learning with Applications journal, Elsevier.

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Weitere beliebte Ausgaben desselben Titels

9789819953349: Handling Uncertainty in Artificial Intelligence

Vorgestellte Ausgabe

ISBN 10:  9819953340 ISBN 13:  9789819953349
Verlag: Springer, 2023
Softcover