Special issue on data mining for intrusion detection and threat analysis
ACM SIGMOD Record
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Support Vector Machines versus Decision Templates in Biomedical Decision Fusion
ICMLA '08 Proceedings of the 2008 Seventh International Conference on Machine Learning and Applications
ICACC '09 Proceedings of the 2009 International Conference on Advanced Computer Control
Introduction to Machine Learning
Introduction to Machine Learning
IEEE Transactions on Neural Networks
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More recently, neural network techniques and fuzzy logic inference systems have been receiving an increasing attention. At the same time, methods of establishing decision by a group of classifiers are regarded as a general problem in various application areas of pattern recognition. Fuzzy combiner proposed by authors, harnesses the support values from classifiers to provide final response having no other restrictions on their structure. The work on generalization of the two-class classification into multiclass classification by means of a fuzzy inference system is extended in this paper. Different methods of fuzzy combiner training are investigated and the result of computer experiments carried out on UCI benchmark datasets in the Matlab environment are presented.