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» Algorithms for Propositional KB Approximation
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AAAI
2011
12 years 6 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
PODS
2010
ACM
197views Database» more  PODS 2010»
13 years 6 months ago
When data dependencies over SQL tables meet the logics of paradox and S-3
We study functional and multivalued dependencies over SQL tables with NOT NULL constraints. Under a no-information interpretation of null values we develop tools for reasoning. We...
Sven Hartmann, Sebastian Link
CORR
2011
Springer
142views Education» more  CORR 2011»
12 years 9 months ago
Taming Numbers and Durations in the Model Checking Integrated Planning System
The Model Checking Integrated Planning System (MIPS) has shown distinguished performance in the second and third international planning competitions. With its object-oriented fram...
Stefan Edelkamp