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.
|Number of pages||12|
|Publication status||Published - 23 Jul 2013|
|Event||International Conference on Brain Inspired Cognitive Systems - |
Duration: 9 Jul 2013 → …
|Conference||International Conference on Brain Inspired Cognitive Systems|
|Period||9/07/13 → …|
- Chance-corrected evaluation