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Statistical learning theory
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<p>Statistical learning theory is a framework for <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> drawing from the fields of <a href="/facts/Statistics/DNPsKGYU">statistics</a> and <a href="/facts/Functional_analysis/MIp233MT">functional analysis</a>. Statistical learning theory deals with the <a href="/facts/Statistical_inference/sJLjubxm">statistical inference</a> problem of finding a predictive function based on data. Statistical learning theory has led to successful applications in fields such as <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a>, <a href="/facts/Speech_recognition/z7S7Pgk6">speech recognition</a>, and <a href="/facts/Bioinformatics/D5x2L8ee">bioinformatics</a>. </p>