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» Semi-supervised Learning from General Unlabeled Data
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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani
IDEAL
2000
Springer
13 years 11 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
BMCBI
2008
185views more  BMCBI 2008»
13 years 8 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
CSE
2009
IEEE
14 years 2 months ago
A Language of Life: Characterizing People Using Cell Phone Tracks
—Mobile devices can produce continuous streams of data which are often specific to the person carrying them. We show that cell phone tracks from the MIT Reality dataset can be u...
Alexy Khrabrov, George Cybenko
NN
2002
Springer
224views Neural Networks» more  NN 2002»
13 years 7 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa