Proceedings of the Third International Workshop on Multistrategy Learning, May 23-25 Harpers Ferry, WV.

Abstract

The Third International Workshop on Multistrategy Learning (MSL-96), held in Harpers Ferry, WV, May 23-25, 1996, attracted leading researchers in this area from Australia, Austria, Belgium, France, Germany, Italy, Japan, New Zealand, Poland, and the United States. The workshop covered theoretical and empirical issues in the development of learning systems that employ multiple inferential and/or computational strategies. The study of such systems draws upon the achievements in all subareas of machine learning, and constitutes a major new research direction In the field. Major topics of the workshop included: the study of interrelationships among learning strategies and paradigms, cognitive models of learning processes and their relationships to methods and paradigms of machine learning, the development of multistrategy learning systems, and their practical applications. Among major application areas presented at the workshop were data mining and knowledge discovery in large databases, intelligent text retrieval, flight simulation, robot navigation robot control, planning, stock market analysis, world wide web searches, and molecular biology.

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Document Details

Document Type
Technical Report
Publication Date
Sep 16, 1996
Accession Number
ADA316878

Entities

People

  • Janusz Wnek
  • Ryszard S. Michalski

Organizations

  • George Mason University

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Data Mining
  • Databases
  • Geography
  • Health Services
  • Information Processing
  • Information Science
  • Information Systems
  • Knowledge Management
  • Machine Learning
  • Medical Personnel
  • Network Science

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Riverine Ecology
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • Autonomy