26 search results - page 1 / 6 » Active cleaning of label noise |
ECML
2007
Springer
13 years 11 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
13 years 10 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 5 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
12 years 8 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 5 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,...