Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training
- DOI
- 10.1371/journal.pone.0200884
- Published
- 2018-07-26
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0200884,
title = {Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training},
author = {Francisco J. Zamora-Martínez and Salvador España-Boquera and Maria Jose Castro-Bleda and Adrian Palacios-Corella},
year = {2018},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0200884},
url = {https://doi.org/10.1371/journal.pone.0200884}
}RIS
TY - JOUR TI - Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training AU - Francisco J. Zamora-Martínez AU - Salvador España-Boquera AU - Maria Jose Castro-Bleda AU - Adrian Palacios-Corella PY - 2018 JO - PLOS ONE DO - 10.1371/journal.pone.0200884 UR - https://doi.org/10.1371/journal.pone.0200884 ER -
APA
Zamora-Martínez, F. J., España-Boquera, S., Castro-Bleda, M. J., & Palacios-Corella, A. (2018). Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training. PLOS ONE. https://doi.org/10.1371/journal.pone.0200884
Source records
- crossref · retrieved 2026-11-07T04:27:07.365Z