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» Generalization Error Bounds Using Unlabeled Data
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KDD
2008
ACM
148views Data Mining» more  KDD 2008»
14 years 8 months ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...
JMLR
2006
140views more  JMLR 2006»
13 years 8 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 8 months ago
Spectral domain-transfer learning
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, ...
SENSYS
2003
ACM
14 years 1 months ago
On the effect of localization errors on geographic face routing in sensor networks
In the absence of location errors, geographic routing - using a combination of greedy forwarding and face routing - has been shown to work correctly and efficiently. The effects o...
Karim Seada, Ahmed Helmy, Ramesh Govindan
OSDI
2006
ACM
14 years 8 months ago
EXPLODE: A Lightweight, General System for Finding Serious Storage System Errors
Storage systems such as file systems, databases, and RAID systems have a simple, basic contract: you give them data, they do not lose or corrupt it. Often they store the only copy...
Junfeng Yang, Can Sar, Dawson R. Engler