The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of ...
Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G...
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
In Ôcontextual learning theoryÕ three types of contextual conditions (differentiation of learning procedures and materials, integrated ICT support, and improvement of developme...