Neural conditional random fields - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Neural conditional random fields

Résumé

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.
Fichier non déposé

Dates et versions

hal-01291978 , version 1 (22-03-2016)

Identifiants

  • HAL Id : hal-01291978 , version 1

Citer

Trinh Minh Tri Do, Thierry Artières. Neural conditional random fields. International Conference on Artificial Intelligence and Statistics (AISTAT), May 2010, Sardinia, Italy. pp.177-184. ⟨hal-01291978⟩
106 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More