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Quantitative Evaluation of Systems

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Cover of 'Quantitative Evaluation of Systems'

Table of Contents

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    Book Overview
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    Chapter 1 End-User Probabilistic Programming
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    Chapter 2 The Logical Path to Autonomous Cyber-Physical Systems
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    Chapter 3 Model Checking Constrained Markov Reward Models with Uncertainties
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    Chapter 4 A Modest Approach to Modelling and Checking Markov Automata
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    Chapter 5 Finite Approximation of LMPs for Exact Verification of Reachability Properties
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    Chapter 6 Bayes-Adaptive Planning for Data-Efficient Verification of Uncertain Markov Decision Processes
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    Chapter 7 Strategy Representation by Decision Trees with Linear Classifiers
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    Chapter 8 Neural Network Precision Tuning
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    Chapter 9 SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes
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    Chapter 10 Fast Falsification of Hybrid Systems Using Probabilistically Adaptive Input
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    Chapter 11 State-Space Construction of Hybrid Petri Nets with Multiple Stochastic Firings
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    Chapter 12 Expected Cost Analysis of Attack-Defense Trees
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    Chapter 13 A Process Algebra for (Delimited) Persistent Stochastic Non-Interference
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    Chapter 14 Automated Game-Theoretic Verification of Security Systems
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    Chapter 15 Bayesian Abstraction of Markov Population Models
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    Chapter 16 UTOPIC: Under-Approximation Through Optimal Control
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    Chapter 17 Reducing Spreading Processes on Networks to Markov Population Models
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    Chapter 18 Doping Tests for Cyber-Physical Systems
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    Chapter 19 Safety Guarantees for the Electricity Grid with Significant Renewables Generation
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    Chapter 20 W ise M ove : A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous Driving
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    Chapter 21 Great-Nsolve : A Tool Integration for (Markov Regenerative) Stochastic Petri Nets
Attention for Chapter 7: Strategy Representation by Decision Trees with Linear Classifiers
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Chapter title
Strategy Representation by Decision Trees with Linear Classifiers
Chapter number 7
Book title
Quantitative Evaluation of Systems
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30281-8_7
Book ISBNs
978-3-03-030280-1, 978-3-03-030281-8
Authors

Pranav Ashok, Tomáš Brázdil, Krishnendu Chatterjee, Jan Křetínský, Christoph H. Lampert, Viktor Toman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Engineering 2 33%
Unknown 2 33%