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» Prediction Accuracy of Link-Quality Estimators
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ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
13 years 11 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
KDD
1995
ACM
95views Data Mining» more  KDD 1995»
13 years 9 months ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
MICCAI
2003
Springer
14 years 6 months ago
A Spatial-Stiffness Analysis of Fiducial Registration Accuracy
Abstract. We describe a new approach to predicting the maximum target registration error for fiducial registration. The approach is based on the analysis of a spatial stiffness mod...
Burton Ma, Randy E. Ellis
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 7 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
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 6 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky