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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 7 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 7 months ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 7 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
IPSN
2010
Springer
14 years 2 months ago
A system for distributed event detection in wireless sensor networks
Event detection is a major issue for applications of wireless sensor networks. In order to detect an event, a sensor network has to identify which application-specific incident h...
Georg Wittenburg, Norman Dziengel, Christian Warte...
IDEAS
2009
IEEE
192views Database» more  IDEAS 2009»
14 years 2 months ago
A cluster-based approach to XML similarity joins
A natural consequence of the widespread adoption of XML as standard for information representation and exchange is the redundant storage of large amounts of persistent XML documen...
Leonardo Ribeiro, Theo Härder, Fernanda S. Pi...