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ICTAI
2007
IEEE
14 years 1 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
CADE
2006
Springer
14 years 8 months ago
Solving Sparse Linear Constraints
Linear arithmetic decision procedures form an important part of theorem provers for program verification. In most verification benchmarks, the linear arithmetic constraints are dom...
Shuvendu K. Lahiri, Madanlal Musuvathi
CHARME
2003
Springer
196views Hardware» more  CHARME 2003»
14 years 26 days ago
Analyzing the Intel Itanium Memory Ordering Rules Using Logic Programming and SAT
We present a non-operational approach to specifying and analyzing shared memory consistency models. The method uses higher order logic to capture a complete set of ordering constra...
Yue Yang, Ganesh Gopalakrishnan, Gary Lindstrom, K...
ICLP
2003
Springer
14 years 25 days ago
Concurrency, Time, and Constraints
Concurrent constraint programming (ccp) is a model of concurrency for systems in which agents (also called processes) interact with one another by telling and asking information in...
Frank D. Valencia
AISC
2006
Springer
13 years 11 months ago
Finding Relations Among Linear Constraints
In program analysis and verification, there are some constraints that have to be processed repeatedly. A possible way to speed up the processing is to find some relations among the...
Jun Yan, Jian Zhang, Zhongxing Xu