Titlebook: Computer Aided Verification; 29th International C Rupak Majumdar,Viktor Kunčak Conference proceedings 2017 Springer International Publishin

Malevolent

书目名称Computer Aided Verification影响因子(影响力)




书目名称Computer Aided Verification影响因子(影响力)学科排名




书目名称Computer Aided Verification网络公开度




书目名称Computer Aided Verification网络公开度学科排名




书目名称Computer Aided Verification被引频次




书目名称Computer Aided Verification被引频次学科排名




书目名称Computer Aided Verification年度引用




书目名称Computer Aided Verification年度引用学科排名




书目名称Computer Aided Verification读者反馈




书目名称Computer Aided Verification读者反馈学科排名

先锋派

拖债

Mikhail Dozmorov,Robert E. Hurstfor recurrences of classical randomized algorithms, including ., where the worst-case bounds are either inefficient (such as linear as compared to logarithmic expected-runtime complexity, or quadratic as compared to linear or almost-linear expected-runtime complexity), or ineffective.

不感兴趣

Rebecca A. Sealfon,Stuart C. Sealfonxisting approaches for classical Markov decision processes. The main challenge is to treat policies exploiting state residence times, even for .timed objectives. Experimental results show the feasibility and scalability of our approach.

词汇记忆方法

遍及

Lisette J. A. Kogelman,Haja N. Kadarmideenees. Second, extending the above approach with a simulation-guided on-demand variant of VI, we present an anytime algorithm that is able to deal with very large models. (3) Finally, we present experimental results showing that our methods significantly outperform the standard approaches on several b

遍及

Xiaohong Li,Carolyn M. Klinge,Susmita Dattahose in the initial dataset, critical for discovering corner cases and ensuring the learned analysis generalizes to unseen programs..We implemented and instantiated our approach to the task of learning JavaScript static analysis rules for a subset of points-to analysis and for allocation sites analy

肿块

https://doi.org/10.1007/978-94-007-4819-4n abstract example, or provide a counterexample in which case the synthesizer will explore a different program. When the user accepts a set of abstract examples that covers the entire input space, the synthesis process is completed..We have implemented our approach and we experimentally show that ou

原来

Safety Verification of Deep Neural Networksimage. We enable exhaustive search of the region by employing discretisation, and propagate the analysis layer by layer. Our method works directly with the network code and, in contrast to existing methods, can guarantee that adversarial examples, if they exist, are found for the given region and fa

Conflagration

The Power of Symbolic Automata and Transducers and what challenges arise when reasoning about these formalisms. Finally, we present a list of open problems and research directions that relate to both the theory and practice of symbolic automata and transducers.