articleMay 25, 2006Closed access

Opposition-Based Learning: A New Scheme for Machine Intelligence

HRHamid R. Tizhoosh

University of Waterloo

Indexed incrossref

Abstract

Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions are the foundation of this new approach. Examples are provided. Possibilities for extensions of existing learning algorithms are discussed. Preliminary results are provided

Citation impact

2,093
total citations
FWCI
29.83
Percentile
100%
References
11
Citations per year

Authors

1

Topics & keywords

Topics
Keywords
  • Opposition (politics)
  • Computer science
  • Artificial intelligence
  • Machine learning
  • Scheme (mathematics)
  • Mathematics
  • Political science
  • Law
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