Learning Changing Concepts by Exploiting the Structure of Change

Date

2000

Authors

Bartlett, Peter
Ben-David, Shai
Kulkarni, Shrinivas R

Journal Title

Journal ISSN

Volume Title

Publisher

Kluwer Academic Publishers

Abstract

This paper examines learning problems in which the target function is allowed to change. The learner sees a sequence of random examples, labelled according to a sequence of functions, and must provide an accurate estimate of the target function sequence.

Description

Keywords

Keywords: Algorithms; Computational complexity; Functions; Graph theory; Parameter estimation; Computational learning theory; Concept drift; Learning systems

Citation

Source

Machine Learning

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31