Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Abstract. This paper introduces a framework for quantum exact learning via queries, the so-called quantum protocol. It is shown that usual protocols in the classical learning setti...
Abstract— Humanoids have recently become a popular research platform in the robotics community. Such robots offer various fields for new applications. However, they have several...
Cyrill Stachniss, Maren Bennewitz, Giorgio Grisett...
In this paper, we describe a formative study to learn how one chronically ill population thinks about food, mentally organizes food, and interprets consumption-level icons. We fou...