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Combining, Modelling and Analyzing Imprecision, Randomness and Dependence - 2024 ed.

By: (Edited by) Jonathan Ansari , (Edited by) Maria Angeles Gil , (Edited by) Maria Asuncion Lubiano , (Edited by) Olgierd Hryniewicz , (Edited by) Przemyslaw Grzegorzewski , (Edited by) Sebastian Fuchs , (Edited by) Wolfgang Trutschnig

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Ksh 36,000.00

Format: Paperback / Softback

ISBN-10: 3031659929

ISBN-13: 9783031659928

Edition: 2024 ed.

Series: Advances in Intelligent Systems and Computing

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 10th, 2024

Print length: 565 Pages

Product Classification: Databases
Artificial intelligence

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This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Conference on Soft Methods in Probability and Statistics (SMPS) held in Salzburg, Austria, in September 2024.

This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Conference on Soft Methods in Probability and Statistics (SMPS) held in Salzburg, Austria, in September 2024. It covers recent advances in the field of probability, statistics, and data science, with a particular focus on dealing with dependence, imprecision and incomplete information. Reflecting the fact that data science continues to evolve, this book serves as a bridge between different groups of experts, including statisticians, mathematicians, computer scientists, and engineers, and encourages interdisciplinary research. The selected contributions cover a wide range of topics such as imprecise probabilities, random sets, belief functions, possibility theory, and dependence modeling. Readers will find discussions on clustering, depth concepts, dimensionality reduction, and robustness, reflecting the conference''s commitment to addressing real-world challenges through innovative methods.

 


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