Communications of the ACM
Research Archive
The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
May 2018
From Communications of the ACM
Never-Ending Learning
In this paper we define more precisely the never-ending learning paradigm for machine learning, and present one case study: the Never-Ending Language Learner (NELL), which achieves a number of the desired properties of a never…
From Communications of the ACM
Technical Perspective: Breaking the Mold of Machine Learning
"Never-Ending Learning" is the latest and one of the most compelling incarnations of Tom Mitchell and his collaborators' research investigating how to broaden the machine learning field.