4660 search results - page 1 / 932 » Learning from imperfect data |
ILP
2001
Springer
13 years 9 months ago
2001
Springer
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
ASC
2007
13 years 4 months ago
2007
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
JAIR
2008
13 years 5 months ago
2008
Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to ...
MICAI
2010
Springer
2010
Springer
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
13 years 3 months ago
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...