Computational Intelligence Based Classifier Fusion Models for Biomedical Classification Applications

Computational Intelligence Based Classifier Fusion Models for Biomedical Classification Applications

The generalization abilities of machine learning algorithms often depend on the algorithms’ initialization, parameter settings, training sets, or feature selections. For instance, SVM classifier performance largely relies on whether the selected kernel functions are suitable for real application dat...

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Bibliographic Details
Main Author: Chen, Xiujuan
Format: Others
Published: Digital Archive @ GSU 2007
Subjects:
Combining Classifiers
Computational Intelligence
Support Vector Machines
Fuzzy Logic
Genetic Algorithms
Type-2 Fuzzy Logic
Bioinformatics
Machine Learning
Receiver Operating Characteristics
Classifier Performance Measure
Protein Structures and Sequences
DNA Microarray
Computer Sciences
Online Access:http://digitalarchive.gsu.edu/cs_diss/26
http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1025&context=cs_diss

Internet

http://digitalarchive.gsu.edu/cs_diss/26
http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1025&context=cs_diss

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