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» Active Mining in a Distributed Setting
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ADMA
2005
Springer
117views Data Mining» more  ADMA 2005»
13 years 10 months ago
Context-Sensitive Regression Analysis for Distributed Data
A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this a...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
SIGMETRICS
2000
ACM
101views Hardware» more  SIGMETRICS 2000»
14 years 24 days ago
Feasibility of a serverless distributed file system deployed on an existing set of desktop PCs
We consider an architecture for a serverless distributed file system that does not assume mutual trust among the client computers. The system provides security, availability, and ...
William J. Bolosky, John R. Douceur, David Ely, Ma...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 10 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
14 years 2 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
14 years 26 days ago
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation
We present a method for distinguishing two subtly different mental states, on the basis of the underlying brain activation measured with fMRI. The method uses a classifier to lea...
Francisco Pereira, Marcel Just, Tom M. Mitchell