PR is closely related to the work of Mann and McCallum ( 2007 , 2008 ) , who concurrently developed the idea of using penalties based on posterior expectations of features to guide semi-supervised learning .
simple robust scalable semisupervised learning via expectation regularization
G Mann A McCallum
Such a statement is data-dependent in the sense that if the model satisfies the constraints then we do not need to change it ; if it is far from satisfying it we might need to make very dramatic changes . PR is closely related to the work of Mann and McCallum ( 2007 , 2008 ) , who concurrently developed the idea of using penalties based on posterior expectations of features to guide semi-supervised learning . They call their method generalized expectation ( GE ) constraints or alternatively expectation regularization .
PR is closely related to the work of @@CITATION , 2008 ) , who concurrently developed the idea of using penalties based on posterior expectations of features to guide semi-supervised learning .