Information Geometry

Abstract

This is a close out memorandum report on the Information Geometry work unit. The goal of this work unit was to combine new fundamental research, which used geometric and topological analysis to develop new techniques that describe data and image complexity to make machine learning, and associated systems, "smarter" with respect to their predictive nature, and more resilient to erroneous classification. Furthermore, these techniques were evaluated for use in machine decision making in general, concentrating on multi-agents systems/Teams.

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 2022
Accession Number
AD1181603

Entities

People

  • Ira S. Moskowitz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Brownian Motion
  • Classification
  • Computer Science
  • Curvature
  • Data Analysis
  • Differential Geometry
  • Engineering
  • Geometric Forms
  • Geometry
  • Information Science
  • Information Theory
  • Learning
  • Lines (Geometry)
  • Machine Learning
  • Military Research
  • Network Science
  • Probability
  • Probability Distributions
  • Standards
  • Systems Engineering
  • Topology

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML