Teaching Randomized Learners

Abstract. The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of various parameters such as the learner's memory size, its ability to provide or to not provide feedback, and the influence of the order in which examples are presented. Furthermore, within the new model it is possible to investigate new aspects of teaching like teaching from positive data only or teaching with inconsistent teachers. Furthermore, we provide characterization theorems for teachability from positive data for both ordinary teachers and inconsistent teachers with and without feedback.

• Type: Conference
• Year: 2006
• Where: COLT
• Authors: Frank J. Balbach, Thomas Zeugmann
• Keywords: COLT 2006, Inconsistent Teachers, Machine Learning, Positive Data, Teaching Dimension Model