Created by W.Langdon from gp-bibliography.bib Revision:1.7964
The successfulness of such composite classifiers is demonstrated by performing various experiments, while using Receiver Operating Characteristics (ROC) curve as the performance measure. It is evident from the experimental results that OCC outperforms its component classifiers. It attains high margin of improvement at small feature sets. Further, it is concluded that classification models developed by heterogeneous combination of classifiers have more promising results than their homogeneous combination.
GP optimisation technique automatically caters the selection of suitable component classifiers and model selection. Two main objectives are achieved, while using GP optimisation. First, objective achieved is the development of more optimal classification models. The second one is the enhancement in the GP search strategy itself.",
Item Type: Thesis (PhD)
ID Code: 2511 Deposited By: Ch Abdulla fayyaz Chattha Last Modified: 28 Jul 2009 21:16",
Genetic Programming entries for Abdul Majid