Statistical learning theory
Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis.[1][2][3] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. Statistical learning theory has led to successful applications in fields such as computer vision, speech recognition, and bioinformatics.
This article is about statistical learning in machine learning. For its use in psychology, see Statistical learning in language acquisition.are a useful choice for .
