596 search results - page 4 / 120 » Learning noise |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
IJCAI
1989
13 years 6 months ago
1989
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
COLT
2001
Springer
13 years 9 months ago
2001
Springer
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...