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8

CIMCA
2005
IEEE

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Opposition-Based Learning: A New Scheme for Machine Intelligence

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Opposition-Based Learning: A New Scheme for Machine Intelligence

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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.

Hamid R. Tizhoosh

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Actions Versus Counter-actions | CIMCA 2005 | Opposite Weights | Opposition-based Learning |

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Added	24 Jun 2010
Updated	24 Jun 2010
Type	Conference
Year	2005
Where	CIMCA
Authors	Hamid R. Tizhoosh

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