26 search results - page 1 / 6 » Active cleaning of label noise |
ECML
2007
Springer
14 years 3 months ago
2007
Springer
We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
WSNA
2003
ACM
14 years 2 months ago
2003
ACM
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
IPMI
2007
Springer
14 years 10 months ago
2007
Springer
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...