AN ABSTRACT MODEL FOR THE PATTERN RECOGNITION PROCESS,

Abstract

The goal of this work, unlike that of other work in the field of pattern recognition, is the construction of a general recognition model which can apply to any group of patterns and to any amount of initial knowledge about them. In the preliminary model which has been developed, the initial knowledge is presented to the recognizer as a list of conditional probabilities; then, given certain characteristics of the sequence of items which has been seen, the most probable correct answer can be selected. Where these conditional probabilities are not known exactly, they are estimated by a primitive 'learning' process. Decisions are based on a posteriori probabilities and on other criteria studied in decision theory. The model is described in precise detail, and some possible goals of further work are mentioned. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1961
Accession Number
AD0612037

Entities

People

  • Donald L. Richards

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Construction
  • Decision Theory
  • Learning
  • Pattern Recognition
  • Probability
  • Recognition
  • Sequences

Fields of Study

  • Mathematics

Readers

  • Speech Processing/Speech Recognition.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference