1427 search results - page 14 / 286 » Learning with Annotation Noise |
ISTCS
1997
Springer
15 years 1 months ago
1997
Springer
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
COGSCI
2004
14 years 9 months ago
2004
Performance in perceptual tasks often improves with practice. This effect is known as `perceptual learning,' and it has been the source of a great deal of interest and debate...
106
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
71
Voted
FLAIRS
2006
14 years 11 months ago
2006
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
PRL
2008
14 years 9 months ago
2008
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...