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Titlebook: Quantitative Evaluation of Systems; 17th International C Marco Gribaudo,David N. Jansen,Anne Remke Conference proceedings 2020 Springer Nat

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发表于 2025-3-21 17:24:24 | 显示全部楼层 |阅读模式
书目名称Quantitative Evaluation of Systems
副标题17th International C
编辑Marco Gribaudo,David N. Jansen,Anne Remke
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Quantitative Evaluation of Systems; 17th International C Marco Gribaudo,David N. Jansen,Anne Remke Conference proceedings 2020 Springer Nat
描述This book constitutes the proceedings of the 17th International Conference on Quantitative Evaluation Systems, QEST 2020, held in Vienna, Austria, in August/September 2020.. The 12 full papers presented together with 7 short papers were carefully reviewed and selected from 42 submissions. The papers cover topics such as classic measures involving performance and reliability, quantification of properties that are classically qualitative, such as safety, correctness, and security as well as analytic studies, diversity in the model formalisms and methodologies employed, and development of new formalisms and methodologies.
出版日期Conference proceedings 2020
关键词quantitative evaluation; formal verification; quantitative verification; performance analysis; reliabili
版次1
doihttps://doi.org/10.1007/978-3-030-59854-9
isbn_softcover978-3-030-59853-2
isbn_ebook978-3-030-59854-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Bounding Mean First Passage Times in Population Continuous-Time Markov Chains first passage times without numerically solving the transient probability distribution of the process or sampling from it. We showcase the method on some test examples and tailor it to models exhibiting multimodality, a class of particularly challenging scenarios from biology.
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Conference proceedings 2020 cover topics such as classic measures involving performance and reliability, quantification of properties that are classically qualitative, such as safety, correctness, and security as well as analytic studies, diversity in the model formalisms and methodologies employed, and development of new formalisms and methodologies.
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Bayesian Inference by Symbolic Model Checkingerform inference on large Bayesian network benchmarks. We compare our result to inference using probabilistic sentential decision diagrams and vtrees, a scalable symbolic technique in AI inference tools.
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0302-9743 such as safety, correctness, and security as well as analytic studies, diversity in the model formalisms and methodologies employed, and development of new formalisms and methodologies.978-3-030-59853-2978-3-030-59854-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-23 07:55:03 | 显示全部楼层
Conference proceedings 2020August/September 2020.. The 12 full papers presented together with 7 short papers were carefully reviewed and selected from 42 submissions. The papers cover topics such as classic measures involving performance and reliability, quantification of properties that are classically qualitative, such as s
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