109 search results - page 1 / 22 » Classifier Combining Rules Under Independence Assumptions |
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
MCS
2001
Springer
13 years 9 months ago
2001
Springer
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...
MCS
2002
Springer
13 years 4 months ago
2002
Springer
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
ISIPTA
2003
IEEE
13 years 10 months ago
2003
IEEE
Dempster’s rule for combining two belief functions assumes the independence of the sources of information. If this assumption is questionable, I suggest to use the least speci�...