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Belief Functions : Theory and Applications; 5th International Conference, Belief 2018, Compià gne, France, September 17-21, 2018; Proceedings
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Symbolic and Quantitative Approaches to Reasoning With Uncertainty : 13th European Conference, Ecsqaru 2015, Compià gne, France, July 15-17, 2015. Proceedings
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Belief Functions: Theory and Applications: 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings (Lecture Notes in Artificial Intelligence)
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Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings (Lecture Notes in Artificial Intelligence)
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Symbolic and Quantitative Approaches to Reasoning With Uncertainty : 13th European Conference, Ecsqaru 2015, Compiègne, France, July 15-17, 2015. Proceedings
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Belief Functions : Theory and Applications; 5th International Conference, Belief 2018, Compiègne, France, September 17-21, 2018; Proceedings
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Belief Functions: Theory and Applications : 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319993828 ISBN 13: 9783319993829
Language: English
£ 47.75
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations,continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.
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Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings
Published by Springer International Publishing, 2015
ISBN 10: 3319208063 ISBN 13: 9783319208060
Language: English
£ 47.75
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiègne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69 submissions and cover topics on decision theory and preferences; argumentation; conditionals; game theory; belief update; classification; inconsistency; graphical models; Bayesian networks; belief functions; logic; and probabilistic graphical models for scalable data analytics. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.
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Belief Functions: Theory and Applications
Published by Springer International Publishing, 2018
ISBN 10: 3319993828 ISBN 13: 9783319993829
Language: English
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Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Published by Springer International Publishing, 2015
ISBN 10: 3319208063 ISBN 13: 9783319208060
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Belief Functions: Theory and Applications; 5th International Conference, Belief 2018, Compiègne, France, September 17-21, 2018; Proceedings
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3319993828 ISBN 13: 9783319993829
Language: English
Paperback. Condition: Brand New. 292 pages. 9.25x6.10x0.66 inches. In Stock.
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Symbolic and Quantitative Approaches to Reasoning With Uncertainty: 13th European Conference, Ecsqaru 2015, Compiègne, France, July 15-17, 2015. Proceedings
Published by Springer-Verlag New York Inc, 2015
ISBN 10: 3319208063 ISBN 13: 9783319208060
Language: English
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Belief Functions: Theory and Applications
Published by Springer International Publishing, Springer Nature Switzerland Aug 2018, 2018
ISBN 10: 3319993828 ISBN 13: 9783319993829
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.
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Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Published by Springer International Publishing, Springer International Publishing Jun 2015, 2015
ISBN 10: 3319208063 ISBN 13: 9783319208060
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 47.75
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiègne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69 submissions and cover topics on decision theory and preferences; argumentation; conditionals; game theory; belief update; classification; inconsistency; graphical models; Bayesian networks; belief functions; logic; and probabilistic graphical models for scalable data analytics. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 568 pp. Englisch.
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Uncertainty Modelling in Data Science
Published by Springer International Publishing, 2018
ISBN 10: 3319975463 ISBN 13: 9783319975467
Language: English
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Uncertainty Modelling in Data Science (Advances in Intelligent Systems and Computing, 832)
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Uncertainty Modelling in Data Science
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319975463 ISBN 13: 9783319975467
Language: English
£ 143.26
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17-21, 2018. It includes foundational, methodological and applied contributions on topics as varied as imprecise data handling, linguistic summaries, model coherence, imprecise Markov chains, and robust optimisation. These proceedings were produced using EasyChair.Over recent decades, interest in extensions and alternatives to probability and statistics has increased significantly in diverse areas, including decision-making, data mining and machine learning, and optimisation. This interest stems from the need to enrich existing models, in order to include different facets of uncertainty, like ignorance, vagueness, randomness, conflict or imprecision. Frameworks such as rough sets, fuzzy sets, fuzzy random variables, random sets, belief functions, possibility theory, imprecise probabilities, lower previsions, and desirable gambles all share this goal, but have emerged from different needs.The advances, results and tools presented in this book are important in the ubiquitous and fast-growing fields of data science, machine learning and artificial intelligence. Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions. In addition, extensions such as fuzzy sets can be explicitly designed to provide interpretable predictive models, facilitating user interaction and increasing trust.
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Uncertainty Modelling in Data Science
Published by Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10: 3319975463 ISBN 13: 9783319975467
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 143.26
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17¿21, 2018. It includes foundational, methodological and applied contributions on topics as varied as imprecise data handling, linguistic summaries, model coherence, imprecise Markov chains, and robust optimisation. These proceedings were produced using EasyChair.Over recent decades, interest in extensions and alternatives to probability and statistics has increased significantly in diverse areas, including decision-making, data mining and machine learning, and optimisation. This interest stems from the need to enrich existing models, in order to include different facets of uncertainty, like ignorance, vagueness, randomness, conflict or imprecision. Frameworks such as rough sets, fuzzy sets, fuzzy random variables, random sets, belief functions, possibility theory, imprecise probabilities, lower previsions, and desirable gambles all share this goal, but have emerged from different needs.The advances, results and tools presented in this book are important in the ubiquitous and fast-growing fields of data science, machine learning and artificial intelligence. Indeed, an important aspect of some of the learned predictive models is the trust placed in them.Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions. In addition, extensions such as fuzzy sets can be explicitly designed to provide interpretable predictive models, facilitating user interaction and increasing trust.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.
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