| 2007 |
|---|
| 10 | EE | Holger Schwenk:
Continuous space language models.
Computer Speech & Language 21(3): 492-518 (2007) |
| 2006 |
|---|
| 9 | EE | Holger Schwenk,
Daniel Dechelotte,
Jean-Luc Gauvain:
Continuous Space Language Models for Statistical Machine Translation.
ACL 2006 |
| 8 | EE | Lori Lamel,
Eric Bilinski,
Gilles Adda,
Jean-Luc Gauvain,
Holger Schwenk:
The LIMSI RT06s Lecture Transcription System.
MLMI 2006: 457-468 |
| 7 | EE | Spyridon Matsoukas,
Jean-Luc Gauvain,
Gilles Adda,
T. Colthurst,
Chia-Lin Kao,
Owen Kimball,
Lori Lamel,
Fabrice Lefevre,
J. Z. Ma,
John Makhoul,
Long Nguyen,
R. Prasad,
Richard M. Schwartz,
Holger Schwenk,
Bing Xiang:
Advances in transcription of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system.
IEEE Transactions on Audio, Speech & Language Processing 14(5): 1541-1556 (2006) |
| 2005 |
|---|
| 6 | EE | Holger Schwenk,
Jean-Luc Gauvain:
Training Neural Network Language Models on Very Large Corpora.
HLT/EMNLP 2005 |
| 2000 |
|---|
| 5 | | Holger Schwenk,
Yoshua Bengio:
Boosting Neural Networks.
Neural Computation 12(8): 1869-1887 (2000) |
| 1998 |
|---|
| 4 | | Holger Schwenk:
The Diabolo Classifier.
Neural Computation 10(8): 2175-2200 (1998) |
| 1997 |
|---|
| 3 | | Holger Schwenk,
Yoshua Bengio:
AdaBoosting Neural Networks: Application to on-line Character Recognition.
ICANN 1997: 967-972 |
| 2 | | Holger Schwenk,
Yoshua Bengio:
Training Methods for Adaptive Boosting of Neural Networks.
NIPS 1997 |
| 1994 |
|---|
| 1 | EE | Holger Schwenk,
Maurice Milgram:
Transformation Invariant Autoassociation with Application to Handwritten Character Recognition.
NIPS 1994: 992-998 |
