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23

JMLR
2010

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Neural conditional random fields

13 years 5 months ago

Neural conditional random fields

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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.

Trinh Minh Tri Do, Thierry Artières

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Deep Neural Networks | JMLR 2010 | Non-linear Graphical Model | Scalable Probabilistic Model |

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Added	19 May 2011
Updated	19 May 2011
Type	Journal
Year	2010
Where	JMLR
Authors	Trinh Minh Tri Do, Thierry Artières

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