How abstract are the representations derived from visual statistical learning?
How abstract are the representations derived from visual statistical learning? is a scholarly work, published in 2018 in ''Journal of Vision''. The main subjects of the publication include biological sequence, natural language processing, mathematics, artificial intelligence, psychology, statistics education, task, communication, statistics, statistical inference, machine learning, pattern recognition, and computer science. The authors compared recognition rates of non-adjacent items (i.e., AC) and completely randomized order of the target triplets or pairs (e.g., ACB, BAC, and CAB) to chance and to adjacent items and correctly-ordered shape sequences.