Toward Intelligent Machine Learning Algorithms

Abstract

Machine learning is recognized as a tool for improving the performance of many kinds of systems, yet most machine learning systems themselves are not well equipped to improve their own learning performance. By emphasizing the role of domain knowledge, learning systems can be crafted as knowledge directed systems, and with the addition of a knowledge store for organizing and maintaining knowledge to assist learning, a learning machine learning (L-ML) algorithm is possible. The necessary components of L-ML systems are presented along with several case descriptions of existing machine learning systems that possess limited L-ML capabilities. Keywords: Algorithms, Artificial intelligence. (SDW)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA197049

Entities

People

  • Bradley L. Whitehall
  • Lawrence B. Holder
  • Robert E. Stepp

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automatic Programming
  • Classification
  • Cognitive Science
  • Computer Programs
  • Computer Science
  • Computers
  • Illinois
  • Intelligent Systems
  • Language
  • Learning Machines
  • Machine Learning
  • Pattern Recognition
  • Security
  • Universities

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • STEM Education
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks