id: 05927267
dt: j
an: 05927267
au: Jiang, Xuelian; Shi, Hongbo
ti: A learning algorithm combining generative and discriminative classifiers.
so: J. Shandong Univ., Nat. Sci. 45, No. 7, 7-12 (2010).
py: 2010
pu: Editorial Board of Journal of Shandong University, Jinan, Shandong
la: ZH
cc: 
ut: generative models; discriminative models; ensemble classifier; individual
    classifier
ci: 
li: 
ab: Summary: Based on the AdaBoost ensemble framework, a learning algorithm
    combining generative and discriminative classifiers is proposed. In
    each round of the algorithm, a generative classifier and a
    discriminative classifier are learned, the classifier with the smaller
    error rate is selected as the individual classifier, and then, all the
    individual classifiers are combined by a weighted approach.
    Experimental results show that this method is very good in terms of
    accuracy and convergence speed.
rv: