"1804","Types of cost in inductive concept learning","Inductive concept learning is the task of learning to assign cases to a discrete set of classes. In real-world applications of concept learning, there are many different types of cost involved. The majority of the machine learning literature ignores all types of cost (unless accuracy is interpreted as a type of cost measure). A few papers have investigated the cost of misclassification errors. Very few papers have examined the many other types of cost. In this paper, we attempt to create a taxonomy of the different types of cost that are involved in inductive concept learning. This taxonomy may help to organize the literature on cost-sensitive learning. We hope that it will inspire researchers to investigate all types of cost in inductive concept learning in more depth. ","http://cogprints.org/1804/","Turney, Peter","UNSPECIFIED","       <span class=\"person_name\">Turney, Peter</span>     (2000)  <a href=\"http://cogprints.org/1804/\"><em>Types of cost in inductive concept learning.</em></a>       [Conference Paper]         (Unpublished)   ","","2000"