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» On Learning Limiting Programs
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ILP
2007
Springer
15 years 11 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
COMPSAC
2009
IEEE
15 years 12 months ago
An Integrated Framework for Checking Concurrency-Related Programming Errors
Developing concurrent programs is intrinsically difficult. They are subject to programming errors that are not present in traditional sequential programs. Our current work is to ...
Qichang Chen, Liqiang Wang
CP
1997
Springer
15 years 9 months ago
Programming Constraint Inference Engines
Abstract. Existing constraint programming systems offer a fixed set of inference engines implementing search strategies such as single, all, and best solution search. This is unfo...
Christian Schulte
APLAS
2007
ACM
15 years 9 months ago
The Semantics of "Semantic Patches" in Coccinelle: Program Transformation for the Working Programmer
We rationally reconstruct the core of the Coccinelle system, used for automating and documenting collateral evolutions in Linux device drivers. A denotational semantics of the syst...
Neil D. Jones, René Rydhof Hansen
IASTEDSEA
2004
15 years 6 months ago
Instance orientation: A programming methodology
Instance orientation is an approach for designing and programming software systems. It addresses a limitation of current software architectures: it allows multiple higherlevel vie...
Thomas Schöbel-Theuer