Keywords

#statistical_learning_theory

Statistical learning theory

Framework for machine learning

Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. 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.

Tue 20th

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Statistical learning theory Vapnik–Chervonenkis theory Algorithmic learning theory Early stopping Learning theory Vladimir Vapnik Computational learning theory Empirical risk minimization Language acquisition Neural network (machine learning)
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