A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Cognitive Modeling. Pages 147-149.
Abstract
The generalized delta rule (which is also known as error backpropagation) is a significant advance over previous procedures for network learning. In this paper, we compare network learning using the generalized delta rule to human learning on two concept identification tasks: • Relative ease of concept identification • Generalizing from incomplete data
Michael J. Pazzani, and Michael G. Dyer. 1987. A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87. IJCAI, 147–149. https://ijcai.org/proceedings/1987/28
Pazzani, M. J., & Dyer, M. G. (1987). A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 (pp. 147–149). IJCAI. https://ijcai.org/proceedings/1987/28
@inproceedings{ijcai1987p28,
title = {A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule},
author = {Pazzani, Michael J. and Dyer, Michael G.},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {147--149},
year = {1987},
note = {Cognitive Modeling},
url = {https://ijcai.org/proceedings/1987/28},
}
TY - CPAPER TI - A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule AU - Pazzani, Michael J. AU - Dyer, Michael G. T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 147 EP - 149 UR - https://ijcai.org/proceedings/1987/28 ER -Copied
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