{"version":"1.0","type":"link","title":"Manifold regularization - Newikis","description":"In machine learning, manifold regularization is a technique for using the shape of a dataset to constrain the functions that should be learned on that dataset. In many machine learning problems, the data to be learned do not cover the entire input space. For example, a facial recognition system may…","provider_name":"Newikis","provider_url":"https://newikis.com","cache_age":86400,"thumbnail_url":"https://upload.wikimedia.org/wikipedia/commons/d/d0/Example_of_unlabeled_data_in_semisupervised_learning.png","thumbnail_width":388,"thumbnail_height":449}