Statistical learning theory is a framework for machine learningdrawing from the fields of statistics and functional analysis.Statistical learning theory deals with the problem of finding apredictive function based on data. Statistical learningtheory has led to successful applications in fields such as computer vision, speech recognition, bioinformatics and baseball.