Advances in the Study of Lie Group Machine Learning in Recent Ten Years
Yang Meng · Chinese Journal of Computers · 2015
This paper introduces advances in the study of Lie group machine learning(LML)from three aspects.First,this paper presents the reasons why we choose Lie group to describe features,aiming at clarifying the differences between LML and traditional machine learning methods.By showing extensive applications in artificial intelligence area,we illustrate the universality of Lie Group representation.Second,this paper outlines the main LML algorithms since proposed,with an emphasis on recent research progress.At last,according to the current development,this paper shows some future research directions about LML.