Machine Learning

Abstract

Work was centered on quantifiable aspects of machine learning, particularly efficient algorithms for learning new classes representations, and proofs of limitations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA283386

Entities

People

  • L. G. Valiant

Organizations

  • Harvard University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automata
  • Computational Complexity
  • Computations
  • Computer Science
  • Computers
  • Distributed Computing
  • Language
  • Learning
  • Machine Learning
  • Machines
  • New York
  • Parallel Computing
  • Random Variables
  • Reasoning
  • Theoretical Computer Science

Fields of Study

  • Computer science

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks