1435 search results - page 54 / 287 » Generalization Error Bounds Using Unlabeled Data |
67
Voted
IAT
2008
IEEE
15 years 7 months ago
2008
IEEE
In situations where Bayesian networks (BN) inferencing approximation is allowable, we show how to reduce the amount of sensory observations necessary and in a multi-agent context ...
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
104
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automat...
100
Voted
AAAI
2000
15 years 1 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
81
Voted
TNN
2008
15 years 12 days ago
2008
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...