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ICML
2009
IEEE
14 years 9 months ago
Compositional noisy-logical learning
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
Alan L. Yuille, Songfeng Zheng
SIGSOFT
2004
ACM
14 years 9 months ago
Efficient incremental algorithms for dynamic detection of likely invariants
Dynamic detection of likely invariants is a program analysis that generalizes over observed values to hypothesize program properties. The reported program properties are a set of ...
Jeff H. Perkins, Michael D. Ernst
WWW
2005
ACM
14 years 9 months ago
Debugging OWL ontologies
As an increasingly large number of OWL ontologies become available on the Semantic Web and the descriptions in the ontologies become more complicated, finding the cause of errors ...
Bijan Parsia, Evren Sirin, Aditya Kalyanpur
PLDI
2009
ACM
14 years 9 months ago
A decision procedure for subset constraints over regular languages
Reasoning about string variables, in particular program inputs, is an important aspect of many program analyses and testing frameworks. Program inputs invariably arrive as strings...
Pieter Hooimeijer, Westley Weimer
PPOPP
2009
ACM
14 years 9 months ago
Serialization sets: a dynamic dependence-based parallel execution model
This paper proposes a new parallel execution model where programmers augment a sequential program with pieces of code called serializers that dynamically map computational operati...
Matthew D. Allen, Srinath Sridharan, Gurindar S. S...