Multi-class cost-sensitive boosting with p-norm loss functions
Classification with partial labels
Direct mining of discriminative and essential frequent patterns via model-based search tree
Partial least squares regression for graph mining
Stream prediction using a generative model based on frequent episodes in event sequences