Description: Reasoning Web. Causality, Explanations and Declarative Knowledge by Leopoldo Bertossi, Guohui Xiao The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. FORMAT Paperback CONDITION Brand New Publisher Description The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this years summer school was "Reasoning in Probabilistic Models and Machine Learning" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling. Author Biography Leopoldo Bertossi,Skema Business School, Montreal, CanadaGuohui Xiao University of Bergen, Bergen, Norway Table of Contents Explainability in Machine Learning.- Causal Explanations and Fairness in Data.- Statistical Relational Extensions of Answer Set Programming.- Vadalog: Its Extensions and Business Applications.- Cross-Modal Knowledge Discovery, Inference, and Challenges.- Reasoning with Tractable Probabilistic Circuits.- From Statistical Relational to Neural Symbolic Artificial Intelligence.- Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling. Details ISBN3031314131 Author Guohui Xiao Publisher Springer International Publishing AG Series Lecture Notes in Computer Science Year 2023 Edition 1st ISBN-13 9783031314131 Format Paperback Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Edited by Guohui Xiao ISBN-10 3031314131 UK Release Date 2023-04-28 Pages 211 Edition Description 1st ed. 2023 Publication Date 2023-04-28 Subtitle 18th International Summer School 2022, Berlin, Germany, September 27–30, 2022, Tutorial Lectures DEWEY 025.0427 Series Number 13759 Illustrations 15 Illustrations, color; 7 Illustrations, black and white; IX, 211 p. 22 illus., 15 illus. in color. Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:142027644;
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ISBN-13: 9783031314131
Author: Leopoldo Bertossi, Guohui Xiao
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Book Title: Reasoning Web. Causality, Explanations and Declarative Knowledge
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