SCHOLARLY PUBLICATION

Opposition-Based Learning: A New Scheme for Machine Intelligence

Hamid R. Tizhoosh

📅 2006-05-25 🔗 DOI: 10.1109/cimca.2005.1631345

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📄 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

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ℹ️ Publication Details

Published: 2006-05-25
DOI: 10.1109/cimca.2005.1631345
OpenAlex: W2162745921
Access: Via publisher

📋 Cite This Paper

Hamid R. Tizhoosh (2006). Opposition-Based Learning: A New Scheme for Machine Intelligence. https://doi.org/10.1109/cimca.2005.1631345

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