LEARNING, SELF-LEARNING, AND PATTERN RECOGNITION.

Abstract

Contents: Pattern recognition and the method of potential functions; The methods of stochastic approximations and pattern recognition; Features (measures) of patterns and pattern recognition; Perceptron-type recognition systems and their applications; Set-theoretical approach to pattern recognition; Statistical-probabilistic approach to pattern recognition; and Some other problems in pattern recognition.

Document Details

Document Type
Technical Report
Publication Date
Mar 18, 1968
Accession Number
AD0684254

Entities

People

  • Leonas Kacinskas

Organizations

  • Library of Congress

Tags

DTIC Thesaurus Topics

  • Learning
  • Pattern Recognition
  • Recognition

Readers

  • Neural Network Machine Learning.

Technology Areas

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