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Titlebook: Quantitative Evaluation of Systems; 10th International C Kaustubh Joshi,Markus Siegle,Pedro R. D’Argenio Conference proceedings 2013 Spring

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書目名稱Quantitative Evaluation of Systems
副標(biāo)題10th International C
編輯Kaustubh Joshi,Markus Siegle,Pedro R. D’Argenio
視頻videohttp://file.papertrans.cn/781/780848/780848.mp4
概述Fast track conference proceedings.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Quantitative Evaluation of Systems; 10th International C Kaustubh Joshi,Markus Siegle,Pedro R. D’Argenio Conference proceedings 2013 Spring
描述This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Quantitative Evaluation of Systems, QEST 2013, held in Buenos Aires, Argentina, August 27-30, 2013. The 21 revised full papers presented together with 9 tool demonstrations were carefully reviewed and selected from 52 submissions. The papers are organized in topics such as probabilistic automata and Markov automata, population models, model checking and systems, systems, control and games, timed automata and simulation.
出版日期Conference proceedings 2013
關(guān)鍵詞Markov decision processes; computer networks; performance evaluation; stochastic model checking; theory
版次1
doihttps://doi.org/10.1007/978-3-642-40196-1
isbn_softcover978-3-642-40195-4
isbn_ebook978-3-642-40196-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
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ADTool: Security Analysis with Attack–Defense Trees of ADTool are easy creation, efficient editing, and automated bottom-up evaluation of security-relevant measures. The tool also supports the usage of attack trees, protection trees and defense trees, which are all particular instances of attack–defense trees.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/q/image/780848.jpg
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978-3-642-40195-4Springer-Verlag Berlin Heidelberg 2013
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Learning and Designing Stochastic Processes from Logical Constraints terms of learning and maximising an unknown function (the likelihood of the parameters) which can be numerically estimated at any value of the parameter space (at a non-negligible computational cost). We adapt a recently proposed, provably convergent global optimisation algorithm developed in the m
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Fluid Limit for the Machine Repairman Model with Phase-Type Distributionsepairman is averaged. In addition transition rates are discontinuous because of idle periods at the repairman, and hinders the limit description by an ODE..We prove that the multidimensional Markovian process describing the system evolution converges to a deterministic process with piecewise smooth
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