Xiao guohui (16 Ergebnisse)

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. revised edition. 244 pages. 9.25x6.10x0.55 inches. In Stock.

Zustand: New.

Paperback. Zustand: Brand New. 400 pages. 9.25x6.10x0.94 inches. In Stock.

Zustand: New.

Paperback. Zustand: Brand New. 220 pages. 9.25x6.10x0.47 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed proceedings of the 9th Joint International Semantic Technology Conference, JIST 2019, held in Hangzhou, China, in November 2019.The 12 full papers and 12 short papers presented were carefully reviewed and selected from 70 submissions. The papers present applications of semantic technologies, theoretical results, new algorithms and tools to facilitate the adoption of semantic technologies.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed proceedings of the 9th Joint International Semantic Technology Conference, JIST 2019, held in Hangzhou, China, in November 2019.The 24 full papers presented were carefully reviewed and selected from 70 submissions. They present applications of semantic technologies, theoretical results, new algorithms and tools to facilitate the adoption of semantic technologies and are organized in topical sections on knowledge graphs; data management; question answering and NLP; ontology and reasoning; government open data; and semantic web for life sciences.…

Taschenbuch. Zustand: Neu. Semantic Technology | 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Proceedings | Xin Wang (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiii | Englisch | 2020 | Springer | EAN 9783030414061 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Semantic Technology | 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Revised Selected Papers | Xin Wang (u. a.) | Taschenbuch | xii | Englisch | 2020 | Springer | EAN 9789811534119 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Reasoning Web. Causality, Explanations and Declarative Knowledge | 18th International Summer School 2022, Berlin, Germany, September 27-30, 2022, Tutorial Lectures | Leopoldo Bertossi (u. a.) | Taschenbuch | Lecture Notes in Computer Science | ix | Englisch | 2023 | Springer | EAN 9783031314131 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 year's 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.…