Abstract:

Diversity is an important concept in ensemble learning and researches on diversity are the foundation of ensemble learning. To the classification problems, progress of ensemble diversity are investigated on three aspects, i.e. diversity measurements, relationship between ensemble diversity and ensemble performance and the application of diversity in optimization of classifier ensembles. Based on going deep into existing works, some resolutions for problems in existence are presented.