Response-Based and Counterfactual Learning for Sequence-to-Sequence Tasks in NLP
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Heidelberg, Universität Heidelberg, Dissertation, 2019
- Klassifikation
-
Informatik
- Schlagwort
-
Maschinelles Lernen
Bestärkendes Lernen
- Ereignis
-
Veröffentlichung
- (wo)
-
Heidelberg
- (wer)
-
Universitätsbibliothek Heidelberg
- (wann)
-
2019
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.11588/heidok.00026477
- URN
-
urn:nbn:de:bsz:16-heidok-264771
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:51 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Lawrence, Carolin
- Riezler, Stefan
- Universitätsbibliothek Heidelberg
Entstanden
- 2019
Ähnliche Objekte (12)
Task integration in complex, bimanual sequence learning tasks
Sequence transformations
Retro-sequence
Probabilistic sequence models for image sequence processing and recognition
Neural sequence-to-sequence models for low-resource morphology
Probabilistic sequence models for image sequence processing and recognition
Learning Sequence Representations
Image sequence analysis
Sequence-controlled polymers
An overview & analysis of sequence-to-sequence emotional voice conversion
Neural sequence-to-sequence modeling for language and speech translation
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio
Task integration in complex, bimanual sequence learning tasks
Sequence transformations
Retro-sequence
Probabilistic sequence models for image sequence processing and recognition
Neural sequence-to-sequence models for low-resource morphology
Probabilistic sequence models for image sequence processing and recognition
Learning Sequence Representations
Image sequence analysis
Sequence-controlled polymers
An overview & analysis of sequence-to-sequence emotional voice conversion
Neural sequence-to-sequence modeling for language and speech translation
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio
Task integration in complex, bimanual sequence learning tasks
Sequence transformations
Retro-sequence
Probabilistic sequence models for image sequence processing and recognition
Neural sequence-to-sequence models for low-resource morphology
Probabilistic sequence models for image sequence processing and recognition
Learning Sequence Representations
Image sequence analysis
Sequence-controlled polymers
An overview & analysis of sequence-to-sequence emotional voice conversion
Neural sequence-to-sequence modeling for language and speech translation