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《Journal of Computer Research and Development》 1993-01
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Comparative Study of IBLE and ID_3 Algorithms for Learning From Examples

Zhong Ming Liu Xiaoxia Computing Centre of Chemical Defence Institute,Beijing,102205 Chen Wenwei National University of Defence Technology,Changsha,410073  
The learning performance of IBLE and ID_3 algorithms is compared and studied with a great number of mass spectra.The average predictive accuracy is 93.96% for IBLE and 81.76% for ID_3.The knowledge obtained by IBLE is quite identical with expert knowledge in the representation and contents.The reason for the above differences between IBLE and ID_3 is discussed in theory.
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