26 search results - page 2 / 6 » Active cleaning of label noise |
KAIS
2007
13 years 5 months ago
2007
Analyzing the quality of data prior to constructing data mining models is emerging as an important issue. Algorithms for identifying noise in a given data set can provide a good me...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Commonly used speech enhancement algorithms estimate the power spectral density of the noise to be removed, or make a decision about the presence of speech in a particular frame, ...
SIGMOD
2010
ACM
13 years 10 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
ALT
2006
Springer
14 years 2 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...