Multistage Inference Models for Intelligence Analysis

Abstract

The report discusses inference models which provide a potentially meaningful and useful framework for the analysis of current modes of intelligence processing. The paper describes the development and evaluation of a class of multistage Bayesian inference models.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1974
Accession Number
AD0785639

Entities

People

  • Edgar M. Johnson
  • Stanley M. Halpin

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Inference
  • Bayesian Networks
  • Data Analysis
  • Data Sets
  • Information Processing
  • Information Science
  • Information Systems
  • Intelligence Analysis
  • Mathematical Models
  • Models
  • Probability
  • Reasoning
  • Reliability
  • Sequences
  • Test And Evaluation
  • Theorems

Readers

  • Neural Network Machine Learning.
  • Regression Analysis.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy