A desicion-theoretic generalization of on-line learning and an application to boosting BT - Computational learning theory

  • Freund Y
  • Schapire R
ISSN: 00220000
N/ACitations
Citations of this article
70Readers
Mendeley users who have this article in their library.

Abstract

... More generally, we may allow the learner to select a distribution D t over the space of decisions , in which case it suffers the expected loss of a decision randomly ... The main idea of this improvement is to replace the "hard" {0, 1 }-valued decision used by hf by a "soft" threshold. ...

Cite

CITATION STYLE

APA

Freund, Y., & Schapire, R. E. (2005). A desicion-theoretic generalization of on-line learning and an application to boosting BT - Computational learning theory. Computational Learning Theory, 904(Chapter 2), 23–37.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free