4773 search results - page 601 / 955 » Learning from Uncertain Data |
371
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
223
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ECCV
2010
Springer
16 years 1 days ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
153
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AUSDM
2006
Springer
15 years 10 months ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
163
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
151
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ICIP
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we propose a learning-based demosaicing and a restoration error detection. A Vector Quantization (VQ)based method is utilized for learning. We take advantage of a s...