On the Complexity of Teaching

While most theoretical work in machine learning has focused on the complexity of learning, recently there has been increasing interest in formally studying the complexity of teaching. In this paper we study the complexity of teaching by considering a variant of the on-line learning model in which a helpful teacher selects the instances. We measure the complexity of teaching a concept from a given concept class by a combinatorial measure we call the teaching dimension. Informally, the teaching dimension of a concept class is the minimum number of instances a teacher must reveal to uniquely identify any target concept chosen from the class. A preliminary version of this paper appeared in the Proceedings of the Fourth Annual Workshop

• Type: Conference
• Year: 1991
• Where: COLT
• Authors: Sally A. Goldman, Michael J. Kearns
• Keywords: COLT 1991, Concept Class, Machine Learning, On-line Learning Model, Teaching Dimension