NON-PARAMETRIC PATTERN RECOGNITION. PART II. THE NON-DISJOINT CASE.

Abstract

In Part I of this paper (AD-628 706), a non-parametric discrimination technique was proposed. It was shown that when perfect discrimination was possible, this technique achieved this perfection and in certain cases achieved it with a finite learning phase. In this report, properties of this technique are investigated for the case when perfect discrimination is not possible. In particular, it is shown that even under these conditions asymptotic optimality in the risk sense is attained. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1965
Accession Number
AD0628707

Entities

People

  • Joel Owen

Tags

DTIC Thesaurus Topics

  • Discrimination
  • Identification
  • Learning
  • Mental Processes
  • Pattern Recognition
  • Psychological Phenomena And Processes
  • Recognition

Readers

  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms