A Context-Sensitive Memory Model for Verification of C/C++ Programs Arie Gurfinkel and Jorge A. Navas University of Waterloo and SRI International SAS’17, August 30th, 2017

Source URL: seahorn.github.io

• C
• Data types
• Software engineering
• Computing
• Computer programming
• Pointer
• Compatibility of C and C++
• Const
• Typedef

A Context-Sensitive Memory Model for Verification of C/C++ Programs? Arie Gurfinkel1 and Jorge A. Navas2 1 University of Waterloo (Canada)

Source URL: seahorn.github.io

• Pointer
• Graph

Model contract to ensure equivalent protection in the context of transborder data flows with explanatory reportStudy made jointly by the Council of Europe, the Commission of the European Communities and Internati

Source URL: www.edoeb.admin.ch

• Law
• Contract law
• Business law
• Arbitration
• Arbitration clause
• Information sensitivity
• License
• Contract
• Arbitral tribunal

A Context-Sensitive Memory Model for Verification of C/C++ Programs? Arie Gurfinkel1 and Jorge A. Navas2 1 University of Waterloo (Canada)

Source URL: seahorn.github.io

• Pointer
• Graph

A Context-Sensitive Memory Model for Verification of C/C++ Programs? Arie Gurfinkel1 and Jorge A. Navas2 1 University of Waterloo (Canada)

Source URL: jorgenavas.github.io

• Pointer
• Graph

A Context-Sensitive Memory Model for Verification of C/C++ Programs Arie Gurfinkel and Jorge A. Navas University of Waterloo and SRI International SAS’17, August 30th, 2017

Source URL: seahorn.github.io

• C
• Data types
• Software engineering
• Computing
• Computer programming
• Pointer
• Compatibility of C and C++
• Const
• Typedef

A Neural Verb Lexicon Model with Source-Side Syntac9c Context for String-to-Tree MT Maria Nădejde1 Alexandra Birch1 and Philipp Koehn2 1University of Edinburgh

Source URL: workshop2016.iwslt.org

Jan-Willem Romeijn Conditioning and Interpretation Shifts Abstract. This paper develops a probabilistic model of belief change under interpretation shifts, in the context of a problem case from dynamic epistemic logic.

Source URL: www.philos.rug.nl

A Supertag-Context Model for Weakly-Supervised CCG Parser Learning Dan Garrette∗ Chris Dyer†

Source URL: www.dhgarrette.com

Error model estimation by maximum-likelihood methods in the context of dynamic modeling Mirjam Fehling-Kaschek1 , Daniel Kaschek1 , Wolfgang Mader1 , Marcus Rosenblatt1 , Jens Timmer1,2,3 1 Institute of Physics, Freibur

Source URL: www.user2017.brussels