Abstract. This chapter describes how we used regression rules to improve upon results previously published in the Earth science literature. In such a scientific application of mac...
Mark Schwabacher, Pat Langley, Christopher Potter,...
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Self-assessment is a crucial component of learning. Creating effective questions is time-consuming, however, because it may require considerable resources and the skill of critica...
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...