5 search results - page 1 / 1 » Learning from Imbalanced Data in Presence of Noisy and Borde... |
RSCTC
2010
Springer
13 years 2 months ago
2010
Springer
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
ALT
1994
Springer
13 years 8 months ago
1994
Springer
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
Data noise is present in many machine learning problems domains, some of these are well studied but others have received less attention. In this paper we propose an algorithm for ...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...