Evaluating Machine Learned Models for their Predictive Uncertainty in Context

Abstract

An Argument for Uncertainty in Machine Learned Models.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2022
Accession Number
AD1168440

Entities

People

  • Eric Heim

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Vehicles
  • Calibration
  • Department Of Defense
  • Engineering
  • Guarantees
  • Learning
  • Machine Learning
  • Materials
  • Paraguay
  • Probability
  • Reinforcement Learning
  • Reliability
  • Software Development
  • Test And Evaluation
  • Uncertainty
  • Universities
  • Wetlands

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks