Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis.[1] Statistical learning theory deals with the 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, bioinformatics and baseball