AN ALGORITHM FOR NONPARAMETRIC PATTERN RECOGNITION.

Abstract

An algorithm is presented for determining decision boundaries based on learning samples in a two-category pattern recognition problem. It is shown that the algorithm yields results which converge in probability to the optimal results (in the sense of minimum probability of error). A confidence bound for the probability of error is obtained. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 17, 1967
Accession Number
AD0663109

Entities

People

  • Ernest G. Henrichon Jr.

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Identification
  • Learning
  • Pattern Recognition
  • Probability
  • Recognition

Readers

  • Neural Network Machine Learning.
  • Regression Analysis.

Technology Areas

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