421 search results - page 17 / 85 » Reducing Label Complexity by Learning From Bags |
IDEAL
2000
Springer
15 years 1 months ago
2000
Springer
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 ...
72
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
108
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IJCAI
2001
14 years 11 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
96
Voted
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...