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 [BibTeX] [Marc21]
Neural conditional random fields
Type of publication: Conference paper
Citation: Do_AISTATS_2010
Booktitle: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics
Volume: 9
Year: 2010
Month: 5
Publisher: JMLR: W&CP
Location: Chia Laguna, Sardinia, Italy
Abstract: We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Markov networks, yielding a powerful and scalable probabilistic model that we apply to signal labeling tasks.
Keywords:
Projects Idiap
Authors Do, Trinh-Minh-Tri
Artieres, Thierry
Added by: [UNK]
Total mark: 0
Attachments
  • Do_AISTATS_2010.pdf
Notes