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COLING
2010
14 years 8 months ago
Active Deep Networks for Semi-Supervised Sentiment Classification
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
Shusen Zhou, Qingcai Chen, Xiaolong Wang
60
Voted
ICML
2008
IEEE
16 years 2 months ago
Actively learning level-sets of composite functions
Brent Bryan, Jeff G. Schneider
62
Voted
ICALT
2008
IEEE
15 years 8 months ago
Realistic Learning Activity is Not Enough
John M. Carroll, Marcela Borge, Lu Xiao, Craig H. ...
100
Voted
DIS
2009
Springer
15 years 8 months ago
The Two Faces of Active Learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta
120
Voted
COLT
2007
Springer
15 years 8 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak