Semi-supervised multi-Layer convolution kernel learning in credit evaluation

Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang

Abstract: Highlights•We analyze the basic solution of a generalized differential operator.•We give a class of convolution kernel function.•We propose a semi-supervised multi-layer convolution kernel SVM algorithm.•We define two semi-supervised methods: SSMCK-MKL and SSMCK-AO.