719 search results - page 108 / 144 » Discriminative learning for differing training and test dist... |
118
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BIB
2011
14 years 1 months ago
2011
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
187
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DAGM
2011
Springer
13 years 9 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
TOG
2010
14 years 4 months ago
2010
We present a multiple-feature approach for determining matches between small fragments of archaeological artifacts such as Bronze-Age and Roman frescoes. In contrast with traditio...
101
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IUI
2000
ACM
15 years 2 months ago
2000
ACM
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...