| Hauptseite > Publikationsdatenbank > Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network > print | 
| 001 | 186277 | ||
| 005 | 20240313103134.0 | ||
| 020 | _ | _ | |a 978-3-319-11179-7 | 
| 020 | _ | _ | |a 978-3-319-11179-7 (electronic) | 
| 024 | 7 | _ | |a 10.1007/978-3-319-11179-7_83 |2 doi | 
| 024 | 7 | _ | |a 0302-9743 |2 ISSN | 
| 024 | 7 | _ | |a 1611-3349 |2 ISSN | 
| 037 | _ | _ | |a FZJ-2015-00361 | 
| 082 | _ | _ | |a 004 | 
| 100 | 1 | _ | |a Jitsev, Jenia |0 P:(DE-Juel1)158080 |b 0 |e Corresponding Author |u fzj | 
| 111 | 2 | _ | |a 24th International Conference on Artificial Neural Networks |g ICANN 2014 |c Hamburg |d 2014-09-15 - 2014-09-19 |w Germany | 
| 245 | _ | _ | |a Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network | 
| 260 | _ | _ | |a Cham |c 2014 |b Springer International Publishing | 
| 300 | _ | _ | |a 659 - 666 | 
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1421309556_12763 |2 PUB:(DE-HGF) | 
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote | 
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| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX | 
| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 8681 | 
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| 773 | _ | _ | |a 10.1007/978-3-319-11179-7_83 | 
| 856 | 4 | _ | |u http://link.springer.com/chapter/10.1007%2F978-3-319-11179-7_83 | 
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/186277/files/FZJ-2015-00361.pdf |y Restricted | 
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