About different active learning approaches for acquiring categorical knowledge
Proceedings Of The Twentieth International Electrotechnical and Computer Science Conference ERK 2011, 2011
In this paper we address the problem of acquiring categorical knowledge from the active learning perspective. We describe and implement several teacher and learnerdrivenapproaches that require different levels of teacher competencies and consider different types of knowledge for selection of training samples. The experimental results show that the active learning approach outperforms the passive one and that the adaptation of the learning process to the learners knowledge significantly improves the learning performance.