Combination of heterogeneous multiple classifiers based on evidence theory

Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07

Volumn 2, Issue , 2007, Pages 573-578

  Han, De Qiang ^a   Han, Chong Zhao ^a   Yang, Yi ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Classification; Evidence theory; Machine learning; Multiple classifiers combination; Neural network

Indexed keywords

BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; TEXT PROCESSING; WAVELET ANALYSIS;

DEMPSTER RULE OF COMBINATION; ENSEMBLE PERFORMANCE; EVIDENCE THEORIES; HETEROGENEOUS FEATURES; HETEROGENEOUS MULTIPLE CLASSIFIERS; K-NN CLASSIFIER; MULTIPLE CLASSIFIER SYSTEMS; MULTIPLE CLASSIFIERS COMBINATION;

PATTERN RECOGNITION;

EID: 45149134587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWAPR.2007.4420735     Document Type: Conference Paper

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