Title :
The foundations of automatic learning and generalization
Author_Institution :
AT&T Bell Lab., Holmdel, NJ, USA
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;
Conference_Titel :
Biomedical Engineering., Proceedings of a Special Symposium on Maturing Technologies and Emerging Horizons in
Conference_Location :
New Orleans, LA
DOI :
10.1109/MTEHBE.1988.26409
