On the Sample Complexity of PAC-learning using Random and Chosen Examples

Abstract

Two protocols used for learning under the pac-learning model introduced by Valiant are learning from random examples and learning from memberships queries. Membership queries have been used to efficiently and exactly learn a concept class C that is too difficult to pac-learn using random examples.