Title :
A hierarchical multiple classifier learning algorithm
Author :
Chou, Yu-Yu ; Shapiro, Linda G.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
We describe a hierarchical multiple classifier learning algorithm that was developed to provide a tool for classifier construction in medical applications. The mechanism uses data clustering and sub-class labeling to reduce the overhead of training and enhance the classification accuracy. The results of using this method are compared to a hand-built classifier and to other multiple classifier algorithms
Keywords :
learning (artificial intelligence); medical diagnostic computing; neural nets; pattern classification; classification accuracy; data clustering; hand-built classifier; hierarchical multiple classifier learning algorithm; sub-class labeling; Biomedical equipment; Clustering algorithms; Computer science; Machine learning; Machine learning algorithms; Medical diagnosis; Medical services; Neural networks; Pattern recognition; Refining;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906037
