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FMSD
2008
110views more  FMSD 2008»
13 years 9 months ago
Automatic symbolic compositional verification by learning assumptions
Abstract Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically base...
Wonhong Nam, P. Madhusudan, Rajeev Alur
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
14 years 21 days ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
VSTTE
2005
Springer
14 years 2 months ago
Model Checking: Back and Forth between Hardware and Software
The interplay back and forth between software model checking and hardware model checking has been fruitful for both. Originally intended for the analysis of concurrent software, mo...
Edmund M. Clarke, Anubhav Gupta, Himanshu Jain, He...
APSEC
2005
IEEE
14 years 2 months ago
Describing and Verifying Integrated Services of Home Network Systems
This paper presents a framework to specify and verify integrated services of a home network system (HNS). We first develop a modeling language to describe the HNS and the integra...
Pattara Leelaprute, Tatsuhiro Tsuchiya, Tohru Kiku...
LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 1 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...