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» Approximating Betweenness Centrality
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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
SDM
2007
SIAM
145views Data Mining» more  SDM 2007»
15 years 2 months ago
Finding Motifs in a Database of Shapes
The problem of efficiently finding images that are similar to a target image has attracted much attention in the image processing community and is rightly considered an informatio...
Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra...
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AAAI
2006
15 years 2 months ago
Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense
The use of large quantities of common sense has long been thought to be critical to the automated understanding of the world. To this end, various groups have collected repositori...
William Pentney, Ana-Maria Popescu, Shiaokai Wang,...
DMIN
2006
144views Data Mining» more  DMIN 2006»
15 years 2 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
FORTE
2004
15 years 2 months ago
Symbolic Diagnosis of Partially Observable Concurrent Systems
Abstract. Monitoring large distributed concurrent systems is a challenging task. In this paper we formulate (model-based) diagnosis by means of hidden state history reconstruction,...
Thomas Chatain, Claude Jard