Abstract
Both empirical and mathematical demonstrations of the importance of chance-corrected measures are discussed, and a new model of learning is proposed based on empirical psychological results on association learning. Two forms of this model are developed, the Informatron as a chance-corrected Perceptron, and AdaBook as a chance-corrected AdaBoost procedure. Computational results presented show chance correction facilitates learning.
Original language | English |
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Pages | 145-156 |
Number of pages | 12 |
DOIs | |
Publication status | Published - 23 Jul 2013 |
Event | International Conference on Brain Inspired Cognitive Systems - Duration: 9 Jul 2013 → … |
Conference
Conference | International Conference on Brain Inspired Cognitive Systems |
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Period | 9/07/13 → … |
Keywords
- AdaBoost
- Chance-corrected evaluation
- Kappa
- Perceptron