Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-26T17:13:45.762Z Has data issue: false hasContentIssue false
  • English
  • Français

Model-based learning problem taxonomies

Published online by Cambridge University Press:  01 March 1997

Richard M. Golden
Richard M. Golden
Affiliation:
School of Human Development, University of Texas at Dallas, GR 41, Richardson, TX 75083-0688 golden@utdallas.edu www.utdallas.edu/~golden
Get access Rights & Permissions [Opens in a new window]

Abstract

A fundamental problem with the Clark & Thornton definition of a type-1 problem (requirement 2) is identified. An alternative classical statistical formulation is proposed where a type-1 (learnable) problem corresponds to the case where the learning machine is capable of representing its statistical environment.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 20 , Issue 1 , March 1997 , pp. 73 - 74
Copyright
© 1997 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)