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» Estimating the Accuracy of Learned Concepts
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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 10 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
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
TCSV
2011
13 years 4 months ago
Concept-Driven Multi-Modality Fusion for Video Search
—As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective ...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
RECOMB
2012
Springer
12 years 6 days ago
Estimating the Accuracy of Multiple Alignments and its Use in Parameter Advising
We develop a novel and general approach to estimating the accuracy of protein multiple sequence alignments without knowledge of a reference alignment, and use our approach to addre...
Dan F. DeBlasio, Travis J. Wheeler, John D. Kececi...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 11 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider