4660 search results - page 577 / 932 » Learning from imperfect data |
110
Voted
AUSDM
2006
Springer
15 years 7 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...
119
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ICML
2010
IEEE
15 years 4 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...
113
Voted
ICIP
2007
IEEE
15 years 10 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...
158
Voted
COOPIS
1998
IEEE
15 years 7 months ago
1998
IEEE
This paper reports on a practical implementation of a context mediator for the fixed income securities industry. We describe industry circumstances and the data and calculation se...
112
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AAAI
2008
15 years 5 months ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...