Learn++: An Incremental Learning Algorithm Based on Psycho-Physiological Models of Learning

Abstract

An incremental learning algorithm, Learn++, which allows supervised classification algorithms to learn from new data without forgetting previously acquired knowledge, is introduced. Learn++ is based on generating multiple classifiers using strategically chosen distributions of the training data and combining these classifiers through weighted majority voting. Learn++ shares various notions with psycho-physiological models of learning. The Learn++ algorithm, simulation results, and how the algorithm is related to various concepts in psycho-physiological learning models are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410628

Entities

People

  • R. Polikar

Organizations

  • Rowan University

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Brain
  • Classification
  • Composite Materials
  • Databases
  • Hypotheses
  • Iterations
  • Learning
  • Machine Learning
  • Network Architecture
  • Networks
  • Neural Networks
  • Organic Compounds
  • Supervised Machine Learning
  • Training
  • Volatile Organic Compounds

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.