Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:conference
|
| gptkbp:edition |
15
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning neural networks |
| gptkbp:fullName |
gptkb:Neural_Information_Processing_Systems_2001
|
| https://www.w3.org/2000/01/rdf-schema#label |
NIPS 2001
|
| gptkbp:languageOfName |
Advances in Neural Information Processing Systems 15
|
| gptkbp:location |
gptkb:Vancouver,_Canada
|
| gptkbp:nextEdition |
NIPS 2002
|
| gptkbp:notablePublication |
gptkb:A_Fast_Learning_Algorithm_for_Deep_Belief_Nets
Learning to Predict by the Methods of Temporal Differences Support Vector Machines for Multiple-Instance Learning |
| gptkbp:organizedBy |
gptkb:Neural_Information_Processing_Systems_Foundation
|
| gptkbp:previousEdition |
NIPS 2000
|
| gptkbp:website |
https://nips.cc/Conferences/2001/
|
| gptkbp:year |
2001
|
| gptkbp:bfsParent |
gptkb:Neural_Information_Processing_Systems_2001
gptkb:Sparse_Multinomial_Logistic_Regression |
| gptkbp:bfsLayer |
7
|