Statistical Learning
Statistical Learning is a scholarly work by Elissa L. Newport, published in 2012 in ''Current Directions in Psychological Science''. The main subjects of the publication include perception, consistency, reading, artificial intelligence, perspective, biological mechanism, implicit learning, algorithmic learning theory, set, statistics, language development, machine learning, cognitive psychology, cognitive science, computer science, theory of mind, generalization, and psychology. Statistical learning is a rapid and robust mechanism that enables adults and infants to extract patterns embedded in both language and visual domains.