Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences

Dieser Datensatz wurde verworfen!DetailsÜbersicht

Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences

Altun, Y., Johnson, M., & Hofmann, T. (2003). Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences. In Conference on Empirical Methods in Natural Language Processing (EMNLP 2003) (pp. 145-152). East Stroudsburg, PA, USA: ACL.

Item is Verworfen

Basisdaten (Verworfen)

Datum des Verwerfens: 2020-01-08

Kommentar: dublette

Urheber:
Altun, Y¹
Johnson, M
Hofmann, T¹
Collins M. Steedman, M.

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795

Datum: Erschienen: 2003-07

Dateien: 0 Dateien

Externe Referenzen: 0 ext. Referenzen

Versions ID: item_1792401_1

Status des Datensatzes: Verworfen

Name des Kontextes: Import Context of the MPI for Biological Cybernetics, Zugehörig zu: Max Planck Institute for Biological Cybernetics