Evolutionary approach to produce classifier ensemble based on weighted voting
Michał Woźniak · 2009
Combining classifiers are nowadays one of the most promising direction in pattern recognition. There are many methods of decision making which could be used by the ensemble of classifiers. The most popular are methods that have their origin in voting, where the decision of the common classifier is a combination of individual classifiers' outputs, i.e. classifiers' responses (class numbers) or values of discriminants. This work presents classifiers' weights establish via evolutionary approach. We propose such method for classifier ensemble which could produce classifiers better than Oracle classifier what was shown in the previous works of author.