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AE
2009
Springer
15 years 7 months ago
Artificial Evolution for 3D PET Reconstruction
This paper presents a method to take advantage of artificial evolution in positron emission tomography reconstruction. This imaging technique produces datasets that correspond to t...
Franck Patrick Vidal, Delphine Lazaro-Ponthus, Sam...
ICPR
2010
IEEE
15 years 7 months ago
The Binormal Assumption on Precision-Recall Curves
—The precision-recall curve (PRC) has become a widespread conceptual basis for assessing classification performance. The curve relates the positive predictive value of a classi...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...
ECEASST
2008
121views more  ECEASST 2008»
15 years 6 months ago
Analyzing Semantic Properties of OCL Operations by Uncovering Interoperational Relationships
The OCL (Object Constraint Language) as part of the UML (Unified Modeling Language) is a rich language with different collection kinds (sets, multi-sets, sequences) and a large var...
Mirco Kuhlmann, Martin Gogolla
IANDC
2006
102views more  IANDC 2006»
15 years 6 months ago
Polynomial certificates for propositional classes
This paper studies the complexity of learning classes of expressions in propositional logic from equivalence queries and membership queries. In particular, we focus on bounding th...
Marta Arias, Aaron Feigelson, Roni Khardon, Rocco ...
JMLR
2006
134views more  JMLR 2006»
15 years 6 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz