In order to relate machine learning problems we argue that we need to be able to articulate what is meant by a single machine learning problem. By attempting to name the various aspects of a learning problem we hope to clarify ways in which learning problems might be related to each other. We tentatively put forward a proposal for an anatomy of learning problems that will serve as scaffolding for posing questions about relations. After surveying the way learning problems are discussed in a range of repositories and services. We then argue that the terms used to describe problems to better understand a range of viewpoints within machine learning ranging from the theoretical to the practica
History
Publication title
Proceedings of the 25th Conference on Neural Information Processing Systems
Pagination
1-8
ISBN
9781618395993
Department/School
School of Information and Communication Technology
Publisher
Curran Associates
Place of publication
Spain
Event title
25th Conference on Neural Information Processing Systems Workshop: Relations Between Machine Learning Problems
Event Venue
Sierra Nevada,Spain
Date of Event (Start Date)
2011-12-16
Date of Event (End Date)
2011-12-17
Rights statement
Copyright 2011 Curran Associates
Repository Status
Restricted
Socio-economic Objectives
Expanding knowledge in the information and computing sciences