Plug-in approach to active learning


Journal Article

We present a new active learning algorithm based on nonparametric estimators of the regression function. Our investigation provides probabilistic bounds for the rates of convergence of the generalization error achievable by proposed method over a broad class of underlying distributions. We also prove minimax lower bounds which show that the obtained rates are almost tight. © 2012 Stanislav Minsker.

Cited Authors

  • Minsker, S

Published Date

  • January 1, 2012

Published In

Volume / Issue

  • 13 /

Start / End Page

  • 67 - 90

Electronic International Standard Serial Number (EISSN)

  • 1533-7928

International Standard Serial Number (ISSN)

  • 1532-4435

Citation Source

  • Scopus