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

Malevolent

書目名稱Computer Aided Verification影響因子(影響力)




書目名稱Computer Aided Verification影響因子(影響力)學(xué)科排名




書目名稱Computer Aided Verification網(wǎng)絡(luò)公開度




書目名稱Computer Aided Verification網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Aided Verification被引頻次




書目名稱Computer Aided Verification被引頻次學(xué)科排名




書目名稱Computer Aided Verification年度引用




書目名稱Computer Aided Verification年度引用學(xué)科排名




書目名稱Computer Aided Verification讀者反饋




書目名稱Computer Aided Verification讀者反饋學(xué)科排名

先鋒派

拖債

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.

不感興趣

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.

詞匯記憶方法

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

腫塊

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

原來

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.