Statistical learning is an important phenomenon for machine learning from statistical and functional analysis fields. Statistical learning theory is based on finding a predictive function for a problem. Its applications are in the fields of computer vision, speech recognition, and bioinformatics. It provides the theoretical basis for many machine learning algorithms.
All accepted abstracts will be published in respective Allied Academies Journals.
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