The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Abstract. We provide a formal definition of information flows in XML transformations and, more generally, in the presence of type driven computations and describe a sound technique...
The problem of model selection is considerably important for acquiring higher levels of generalization capability in supervised learning. In this paper, we propose a new criterion ...
We provide three key missing pieces of a general theory of information distance [3, 23, 24]. We take bold steps in formulating a revised theory to avoid some pitfalls in practical...
In a highly mobile and active society, ubiquitous access to information and services is a general desire. The context of users is of high importance for an application to adapt aut...