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COMPSAC
2007
IEEE
15 years 4 months ago
AOP-based automated unit test classification of large benchmarks
Despite the availability of a variety of program analysis tools, evaluation of these tools is difficult, as only few benchmark suites exist. Existing benchmark suites lack the uni...
Cyrille Artho, Zhongwei Chen, Shinichi Honiden
EDBT
2000
ACM
15 years 4 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
FLAIRS
2007
15 years 3 months ago
Autonomous Classification of Knowledge into an Ontology
Ontologies are an increasingly important tool in knowledge representation, as they allow large amounts of data to be related in a logical fashion. Current research is concentrated...
Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, ...
107
Voted
LREC
2010
196views Education» more  LREC 2010»
15 years 2 months ago
Event Models for Historical Perspectives: Determining Relations between High and Low Level Events in Text, Based on the Classifi
In this paper, we report on a study that was performed within the "Semantics of History" project on how descriptions of historical events are realized in different types...
Agata Cybulska, Piek Vossen
UAI
2008
15 years 2 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy