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» Learning Approximate Consistencies
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KR
2000
Springer
15 years 5 months ago
Approximate Objects and Approximate Theories
We propose to extend the ontology of logical AI to include approximate objects, approximate predicates and approximate theories. Besides the ontology we treat the relations among ...
John McCarthy
AUSAI
2006
Springer
15 years 5 months ago
Efficient AUC Learning Curve Calculation
Abstract. A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful...
Remco R. Bouckaert
FOCS
2009
IEEE
15 years 8 months ago
Approximating Minimum Cost Connectivity Problems via Uncrossable Bifamilies and Spider-Cover Decompositions
Abstract— We give approximation algorithms for the Generalized Steiner Network (GSN) problem. The input consists of a graph
Zeev Nutov