In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
In this article we describe how the augmented reality and product design communities, which share the common interest of combining the real and the virtual, might learn from each ...
J. P. Djajadiningrat, Kees Overbeeke, Stephan Wens...
In this paper, we discuss children's and teachers' experiences in a small rural town in Uruguay where every child in elementary school has received a laptop from the OLP...
Juan Pablo Hourcade, Daiana Beitler, Fernando Corm...
This paper describes experiments on learning Dutch phonotactic rules using Inductive Logic Programming, a machine learning approach based on the notion of inverting resolution. Di...