Some questions of consensus building using co-association
Vitaliy Tayanov · International Conference on Artificial Intelligence · 2012
In this paper the co-association matrix has been applied to divide all set of objects into some functional groups. The consistence of each group depends on how difficult is to classify a certain object. This has been done to solve two main problems in pattern recognition and machine learning: to reduce the recognition error and the overtraining value.