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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
ECMDAFA
2006
Springer
166views Hardware» more  ECMDAFA 2006»
13 years 11 months ago
Dynamic Logic Semantics for UML Consistency
Abstract. The Unified Modelling Language (UML) is intended to describe systems, but it is not clear what systems satisfy a given collection of UML diagrams. Stephen Mellor has desc...
Greg O'Keefe
ICLP
2009
Springer
14 years 8 months ago
Using Histograms to Better Answer Queries to Probabilistic Logic Programs
Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...
ENTCS
2000
120views more  ENTCS 2000»
13 years 7 months ago
Efficient Substitution in Hoare Logic Expressions
Substitution plays an important role in Hoare Logic, as it is used in interpreting assignments. When writing a computer-based realization of Hoare Logic, it is therefore important...
Roberto Virga
POPL
2012
ACM
12 years 3 months ago
The marriage of bisimulations and Kripke logical relations
There has been great progress in recent years on developing effective techniques for reasoning about program equivalence in ML-like languages—that is, languages that combine fea...
Chung-Kil Hur, Derek Dreyer, Georg Neis, Viktor Va...