Statements (18)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:conference
|
| gptkbp:editor |
John E. Moody
Richard P. Lippmann Steve J. Hanson |
| gptkbp:event |
gptkb:NeurIPS_1991
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning neural networks |
| https://www.w3.org/2000/01/rdf-schema#label |
NeurIPS 1991 Proceedings
|
| gptkbp:language |
English
|
| gptkbp:location |
gptkb:Denver,_Colorado,_USA
|
| gptkbp:paperSizeSupported |
A Theory of Gradient Descent Learning Algorithms in Neural Networks
Learning Internal Representations by Error Propagation On the Algorithmic Implementation of Stochastic Optimization in Neural Networks |
| gptkbp:publishedBy |
gptkb:Neural_Information_Processing_Systems_Foundation
|
| gptkbp:year |
1991
|
| gptkbp:bfsParent |
gptkb:NeurIPS_1991
|
| gptkbp:bfsLayer |
6
|