Some questions of consensus building using co-association

Authors:
Vitaliy Tayanov
Affiliations:
Polish-Japanese High School of Computer Technics, Bytom, Poland
Venue:
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2012

Citing 2
Cited 0

The nature of statistical learning theory

The nature of statistical learning theory
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)

Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.