Study on the model of feature selection from huge feature sets

Feature selection is a key problem in machine learning and pattern recognition, at the same time, feature selection from huge sets(FSHS) is a hot and difficult subject for researchers to study. In this paper, through the model of FSHS, the authors categorize algorithms about FSHS, and analyze the advantages and disadvantages of the model.