DocumentCode
3505188
Title
The foundations of automatic learning and generalization
Author
Denker, John
Author_Institution
AT&T Bell Lab., Holmdel, NJ, USA
fYear
1988
fDate
4-7 Nov 1988
Firstpage
108
Abstract
Summary form only given. The author discusses neural networks, devices that have the potential to learn from examples, form generalizations, and discover the rules behind patterns in data. He has studied the limits on such devices and has shown that learning from examples is possible, as long as plenty of training data are provided and the network is designed to consider only a limited set of hypotheses
Keywords
neural nets; automatic learning; data patterns; generalization; hypotheses set; learning from examples; neural networks; rules; Data mining; Neural networks; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering., Proceedings of a Special Symposium on Maturing Technologies and Emerging Horizons in
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/MTEHBE.1988.26409
Filename
26409
Link To Document