A NONPARAMETRIC APPROACH TO PATTERN RECOGNITION. PART II. THE NON-DISJOINT CASE.

Abstract

In Part I of this paper, (AD-664 218), a nonparametric discrimination technique was proposed. It was shown there that when perfect discrimination was possible, this technique achieved perfection and in certain cases achieved it with a finite learning phase. In this report, the technique is modified to include the case when perfect discrimination is not possible. It is shown that this procedure yields results which converge in probability to the optimal decision boundaries determined by the likelihood ratio method. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 04, 1968
Accession Number
AD0693144

Entities

People

  • Ernest G. Henrichon Jr.
  • Joel Owen

Tags

DTIC Thesaurus Topics

  • Boundaries
  • Discrimination
  • Identification
  • Learning
  • Pattern Recognition
  • Probability
  • Recognition

Readers

  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

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